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Journal articles on the topic 'Dermoscopic Images'

Author: Grafiati

Published: 4 June 2025

Last updated: 1 August 2025

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1

Yilmaz, Abdurrahim, Gulsum Gencoglan, Rahmetullah Varol, Ali Anil Demircali, Meysam Keshavarz, and Huseyin Uvet. "MobileSkin: Classification of Skin Lesion Images Acquired Using Mobile Phone-Attached Hand-Held Dermoscopes." Journal of Clinical Medicine 11, no. 17 (2022): 5102. http://dx.doi.org/10.3390/jcm11175102.

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Dermoscopy is the visual examination of the skin under a polarized or non-polarized light source. By using dermoscopic equipment, many lesion patterns that are invisible under visible light can be clearly distinguished. Thus, more accurate decisions can be made regarding the treatment of skin lesions. The use of images collected from a dermoscope has both increased the performance of human examiners and allowed the development of deep learning models. The availability of large-scale dermoscopic datasets has allowed the development of deep learning models that can classify skin lesions with hig

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Foltz, Emilie A., Joanna Ludzik, Sancy Leachman, et al. "Revolutionizing Skin Cancer Triage: The Role of Patient-Initiated Teledermoscopy in Remote Diagnosis." Cancers 16, no. 14 (2024): 2565. http://dx.doi.org/10.3390/cancers16142565.

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Introduction: Teledermatology, defined as the use of remote imaging technologies to provide dermatologic healthcare services to individuals in a distant setting, has grown considerably in popularity since its widespread implementation during the COVID-19 pandemic. Teledermoscopy employs a smartphone dermatoscope attachment paired with a smartphone camera to visualize colors and microstructures within the epidermis and superficial dermis that cannot be seen with the naked eye ABCD criteria alone. Methods: Our retrospective observational cohort and case–control study evaluated the utility of loa

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Chuh, Antonio, Vijay Zawar, Regina Fölster-Holst, Gabriel Sciallis, and Thomas Rosemann. "Twenty-five practical recommendations in primary care dermoscopy." Journal of Primary Health Care 12, no. 1 (2020): 10. http://dx.doi.org/10.1071/hc19057.

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ABSTRACT Dermoscopy in primary care enhances clinical diagnoses and allows for risk stratifications. We have compiled 25 recommendations from our experience of dermoscopy in a wide range of clinical settings. The aim of this study is to enhance the application of dermoscopy by primary care clinicians. For primary care physicians commencing dermoscopy, we recommend understanding the aims of dermoscopy, having adequate training, purchasing dermoscopes with polarised and unpolarised views, performing regular maintenance on the equipment, seeking consent, applying contact and close non-contact der

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Berglund, Sofia, John Paoli, Petra Svensson, Karin Terstappen, Martin Gillstedt, and Johan Dahlén Gyllencreutz. "Patient Ability to Take Dermoscopic Follow-Up Images of Atypical Melanocytic Lesions With Smartphones: A Pilot Study." Dermatology Practical & Conceptual 14, no. 4 (2024): e2024268. http://dx.doi.org/10.5826/dpc.1404a268.

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Introduction: Short-term teledermoscopic monitoring helps to distinguish early melanomas from nevi. As the incidence of melanoma is increasing, there are several benefits of patients taking their own dermoscopic images, but only a few previous studies have investigated the feasibility of this approach. Objectives: We sought to examine patient ability to take evaluable dermoscopic images of atypical melanocytic lesions in need of short-term monitoring. Methods: Patients were asked to take follow-up images in their homes using a borrowed dermoscope and their own smartphone. We investigated if th

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Alhasan, Jawidan Kamal, and Mohammad Yousif Saeed Jaf. "Characteristic dermoscopic signs of Melasma among patients attending dermatology-teaching centre in Sulaymaniyah city." Advanced medical journal 7, no. 1 (2022): 62–69. http://dx.doi.org/10.56056/amj.2022.160.

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Background and objectives: Melasma is a common acquired pigmentary disorder which mainly involves sun exposed areas and characterized by the presence of single or multiple hyperpigmented patches distributed symmetrically over face and extending up to neck. Dermoscopy is a noninvasive technique has been tapped recently in various hyperpigmentary conditions like melasma. This research aims to determine the characteristic dermoscopic signs of melasma. Methods: A descriptive study of 100 patients with melasma were conducted over a period of 4 months, these patients were diagnosed clinically and di

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Dodeja, Ajay, Sushil Pande, and Bhushan Madke. "Dermoscopy of oral and genital mucosal lesions: A descriptive cross-sectional study protocol." PLOS ONE 18, no. 8 (2023): e0289562. http://dx.doi.org/10.1371/journal.pone.0289562.

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Introduction Dermoscopy is a safe, rapid, and non-invasive tool that aids in the clinical examination of pigmented and non-pigmented lesions. The upward trend in the use of dermoscopy can be attributed to the availability of compact hand-held and sophisticated dermoscopes, that are small enough to be carried around in a pocket. The extent of dermoscopy is not only limited to the evaluation of cutaneous lesions but also involves its use in the assessment of mucosal lesions along with lesions of hair and nails. Methods In a descriptive cross-sectional study, subjects (n = 100) with oral or genit

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Polesie, Sam, and John Paoli. "Interobserver and Human–Artificial Intelligence Concordance in Differentiating Between Invasive and In Situ Melanoma." Iproceedings 8, no. 1 (2022): e36895. http://dx.doi.org/10.2196/36895.

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Background Machine learning algorithms including convolutional neural networks (CNNs) have recently made significant advances in research settings. Even though several algorithms nowadays are targeted directly to the consumer market, their implementation in clinical practice is still pending. Most melanomas are easy to recognize even without the aid of dermoscopy. Nonetheless, it is often more challenging to discriminate between invasive melanoma and melanoma in situ (MIS) in a preoperative setting even with the assistance of dermoscopy. Although several dermoscopic features suggestive of MIS

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Kentley, Jonathan, Jochen Weber, Konstantinos Liopyris, et al. "Agreement Between Experts and an Untrained Crowd for Identifying Dermoscopic Features Using a Gamified App: Reader Feasibility Study." JMIR Medical Informatics 11 (January 18, 2023): e38412. http://dx.doi.org/10.2196/38412.

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Background Dermoscopy is commonly used for the evaluation of pigmented lesions, but agreement between experts for identification of dermoscopic structures is known to be relatively poor. Expert labeling of medical data is a bottleneck in the development of machine learning (ML) tools, and crowdsourcing has been demonstrated as a cost- and time-efficient method for the annotation of medical images. Objective The aim of this study is to demonstrate that crowdsourcing can be used to label basic dermoscopic structures from images of pigmented lesions with similar reliability to a group of experts.

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Andrade, Catarina, Luís F. Teixeira, Maria João M. Vasconcelos, and Luís Rosado. "Data Augmentation Using Adversarial Image-to-Image Translation for the Segmentation of Mobile-Acquired Dermatological Images." Journal of Imaging 7, no. 1 (2020): 2. http://dx.doi.org/10.3390/jimaging7010002.

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Dermoscopic images allow the detailed examination of subsurface characteristics of the skin, which led to creating several substantial databases of diverse skin lesions. However, the dermoscope is not an easily accessible tool in some regions. A less expensive alternative could be acquiring medium resolution clinical macroscopic images of skin lesions. However, the limited volume of macroscopic images available, especially mobile-acquired, hinders developing a clinical mobile-based deep learning approach. In this work, we present a technique to efficiently utilize the sizable number of dermosc

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Polesie, Sam, and Oscar Zaar. "Frequency of Publication of Dermoscopic Images in Inter-observer Studies: A Systematic Review." Acta Dermato-Venereologica 101, no. 12 (2021): adv00621. http://dx.doi.org/10.2340/actadv.v101.865.

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Research interest in dermoscopy is increasing, but the complete dermoscopic image sets used in inter-observer studies of skin tumours are not often shared in research publications. The aim of this systematic review was to analyse what proportion of images depicting skin tumours are published in studies investigating inter-observer variations in the assessment of dermoscopic features and/or patterns. Embase, MEDLINE and Scopus databases were screened for eligible studies published from inception to 2 July 2020. For included studies the proportion of lesion images presented in the papers and/or

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Lawand, Komal. "Segmentation of Dermoscopic Images." IOSR Journal of Engineering 4, no. 4 (2014): 16–20. http://dx.doi.org/10.9790/3021-04461620.

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Ashwini, C. S., and Nikhitha. "Digitally Segmentation of Hair-Particles from Dermoscopic Images." International Journal of Innovative Science and Research Technology 7, no. 9 (2022): 476–80. https://doi.org/10.5281/zenodo.7117915.

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Melanoma is the most dangerous form of skin cancer, develops when unrepaired damage happens to skin cells known as melanocytes. The skin cells rapidly multiply and forms tumors, called as malignant tumors. The main goal of our paper is hair removal from clinical dermoscopic images. It is the initial preprocessing stage for the skin melanoma diagnostics. In dermoscopy image analysis while analyzing the disease the main obstructs will be the hair objects. These hairs will hide the region of interest (ROI) from being detected. There are many computer-aided techniques to assist dermatologists. In

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Rader, Ryan K., Katie S. Payne, Uday Guntupalli, et al. "The Pink Rim Sign: Location of Pink as an Indicator of Melanoma in Dermoscopic Images." Journal of Skin Cancer 2014 (2014): 1–7. http://dx.doi.org/10.1155/2014/719740.

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Background. In dermoscopic images, multiple shades of pink have been described in melanoma without specifying location of these areas within the lesion.Objective. The purpose of this study was to determine the statistics for the presence of centrally and peripherally located pink melanoma and benign melanocytic lesions.Methods. Three observers, untrained in dermoscopy, each retrospectively analyzed 1290 dermoscopic images (296 melanomas (170in situand 126 invasive), 994 benign melanocytic nevi) and assessed the presence of any shade of pink in the center and periphery of the lesion.Results. Pi

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Gutiérrez-Mendoza, Daniela, Roberto Narro-Llorente, Marcia Karam-Orantes, et al. "Dermoscopy Clues in Pigmented Bowen's Disease." Dermatology Research and Practice 2010 (2010): 1–9. http://dx.doi.org/10.1155/2010/464821.

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Pigmented tumors have similar clinical features that overlap and hamper diagnosis. Dermoscopy increases the diagnostic accuracy of doubtful melanocytic lesions and has been used as a noninvasive tool in the detection of pigmented lesions (PLs) like melanoma, basal cell carcinoma, and pigmented Bowen's disease (pBD). Our objective was to show the dermoscopic features of 2 cases of pBD and compare with the findings reported in the literature. Two dermoscopic images of biopsy proven pBD were retrospectively analyzed for dermoscopic patterns. Both cases showed brown regular globules, structureless

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Rehman, Mohibur, Mushtaq Ali, Marwa Obayya, et al. "Machine learning based skin lesion segmentation method with novel borders and hair removal techniques." PLOS ONE 17, no. 11 (2022): e0275781. http://dx.doi.org/10.1371/journal.pone.0275781.

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The effective segmentation of lesion(s) from dermoscopic skin images assists the Computer-Aided Diagnosis (CAD) systems in improving the diagnosing rate of skin cancer. The results of the existing skin lesion segmentation techniques are not up to the mark for dermoscopic images with artifacts like varying size corner borders with color similar to lesion(s) and/or hairs having low contrast with surrounding background. To improve the results of the existing skin lesion segmentation techniques for such kinds of dermoscopic images, an effective skin lesion segmentation method is proposed in this r

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Seiverling, Elizabeth, Hadjh Ahrns, Kathryn Stevens, et al. "Dermoscopic Lotus of Learning: Implementation and Dissemination of a Multimodal Dermoscopy Curriculum for Primary Care." Journal of Medical Education and Curricular Development 8 (January 2021): 238212052198998. http://dx.doi.org/10.1177/2382120521989983.

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Dermoscopy is a cost-effective tool for detection of skin cancers yet there is limited training available for primary care. The goal of this project was to develop, implement, and disseminate a multimodal curriculum for primary care across a health system based on a previously validated algorithm (Triage Amalgamated Dermoscopic Algorithm; TADA). This cross-sectional study analyzes the dermoscopy workshop intervention of a dermoscopy multimodal curriculum. Volunteers attended one 120-minute dermoscopy workshop on benign and malignant growths using a validated algorithm. Participants took a 30-i

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Żółkiewicz, Jakub, Martyna Sławińska, Urszula Maińska, Roman J. Nowicki, Michał Sobjanek, and Luc Thomas. "Dermoscopy of Umbilical Lesions—A Systematic Review." Journal of Clinical Medicine 13, no. 6 (2024): 1790. http://dx.doi.org/10.3390/jcm13061790.

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Background: The umbilicus is a fibrous remnant located in the centre of the abdomen. Various entities may be encountered in this special anatomical location; however, little is known about their dermoscopic presentation. The aim of this study was to provide a comprehensive summary of existing evidence on dermoscopic features of umbilical lesions. Methods: Studies assessing dermoscopic images of umbilical lesions were included in this study. No age, ethnicity or skin phototype restrictions were applied. Papers assessing lesions outside of the umbilical area, lacking dermoscopic images and/or de

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Giuffrida, Roberta, Claudio Conforti, Andreas Blum, et al. "Vascular Diameter as Clue for the Diagnosis of Clinically and/or Dermoscopically Equivocal Pigmented and Non-Pigmented Basal Cell Carcinomas and Nodular Melanomas." Medicina 58, no. 12 (2022): 1761. http://dx.doi.org/10.3390/medicina58121761.

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Background and objectives: Dermoscopy is a useful tool for the early and non-invasive diagnosis of skin malignancies. Besides many progresses, heavily pigmented and amelanotic skin tumors remain still a challenge. We aimed to investigate by dermoscopy if distinctive morphologic characteristics of vessels may help the diagnosis of equivocal nodular lesions. Materials and Methods: A collage of 16 challenging clinical and dermoscopic images of 8 amelanotic and 8 heavily pigmented nodular melanomas and basal cell carcinomas was sent via e-mail to 8 expert dermoscopists. Results: Dermoscopy improve

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Arige, Saidatri, Lakshmana Rao Atmakuri, Rasheed Shaik, Manasa Gude, Vijaya Kumar Ghanta, and Ramesh Alluri. "Digital Dermoscopy: Advancements in Skin Cancer Diagnosis and Monitoring." Biomedical and Pharmacology Journal 18, December Spl Edition (2025): 33–43. https://doi.org/10.13005/bpj/3071.

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Digital dermoscopy is an advanced, non-invasive imaging technique that enhances conventional dermoscopy by utilizing computerized imaging technology to assess skin lesions, aiding in the early-stage diagnosis of skin cancers, including melanoma, basal cell carcinoma (BCC) and squamous cell carcinoma (SCC). This technique provides high-resolution images, enabling detailed examination and magnification of lesions, which helps clinicians identify subtle changes in lesion morphology over time. Additionally, it allows for long-term monitoring through serial imaging, facilitating more accurate follo

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Nishad, N., R. Meenakshi, R. Ramakrishnan, and A. Chirputkar. "Texture analysis for skin cancer diagnosis using dermoscopic images." CARDIOMETRY, no. 25 (February 14, 2023): 287–91. http://dx.doi.org/10.18137/cardiometry.2022.25.287-291.

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This paper provides a foundation to examine the dermoscopic images for skin cancer diagnosis. A dermoscopic image will often include textured areas that make up a major amount of the image. It is conceivable to organize and categorize such textures according to whether they are related with artifacts or if they reflect biological structure. Given the connection between structure, disease, and texture, it seems likely that quantitative measurements of texture might make it possible to characterize the tissues included inside a dermoscopic image. It has been shown that texture is a valuable char

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Agrawal, Neha, Hita H. Mehta, Rahul Lakhotia, and Arjun R. Prakashey. "Dermoscopy of Cutaneous Vascular Lesions: An Observational Study." Clinical Dermatology Review 8, no. 1 (2024): 14–25. http://dx.doi.org/10.4103/cdr.cdr_78_22.

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Abstract Introduction: Cutaneous vascular lesions (VLs) comprise of all skin diseases that originate from or affect blood or lymphatic vessels. VLs are expected to show predominant vascular structures (VS) in dermoscope and adequate interpretation of the shapes and distribution of VS lead the observer to the right diagnosis. Objectives: The aim is to study and evaluate the dermoscopic patterns of different types of VLs using polarized white and orange light. Methodology: Patients presenting with VLs including vascular tumours, vascular malformations, purpura, and other miscellaneous conditions

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Foahom Gouabou, Arthur Cartel, Jean-Luc Damoiseaux, Jilliana Monnier, Rabah Iguernaissi, Abdellatif Moudafi, and Djamal Merad. "Ensemble Method of Convolutional Neural Networks with Directed Acyclic Graph Using Dermoscopic Images: Melanoma Detection Application." Sensors 21, no. 12 (2021): 3999. http://dx.doi.org/10.3390/s21123999.

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The early detection of melanoma is the most efficient way to reduce its mortality rate. Dermatologists achieve this task with the help of dermoscopy, a non-invasive tool allowing the visualization of patterns of skin lesions. Computer-aided diagnosis (CAD) systems developed on dermoscopic images are needed to assist dermatologists. These systems rely mainly on multiclass classification approaches. However, the multiclass classification of skin lesions by an automated system remains a challenging task. Decomposing a multiclass problem into a binary problem can reduce the complexity of the initi

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Pampena, Riccardo, Stefano Migliorati, Giovanni Paolino, et al. "Two-step-7-Pink Rule: A Practical Tool for the Dermoscopic Evaluation of Fully Amelanotic Skin Lesions." Dermatology Practical & Conceptual 15, no. 1 (2025): 4768. https://doi.org/10.5826/dpc.1501a4768.

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Introduction: The diagnosis of fully amelanotic skin tumors is difficult on clinical and dermoscopic examination. Objective: We sought to identify an accurate and user-friendly dermoscopic algorithm to differentiate between benign and malignant pink lesions. Methods: The database of 1 referral center was retrospectively reviewed for images of non-inflammatory fully amelanotic skin lesions. Two dermatologists jointly assessed a validation set of images for dermoscopic criteria and constructed a diagnostic algorithm, the 2-step 7-pink rule (2S-7PR). Two external clinicians, with different skills

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Wamane, Niharika, Aishwarya Yadav, Jidnyasa Bhoir, Deep Shelke, and Deepali Kadam. "A Comparative Study of Melanoma Images Using CNN And Resnet 50." Journal of Innovative Image Processing 5, no. 1 (2023): 20–35. http://dx.doi.org/10.36548/jiip.2023.1.002.

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Melanoma is a specific type of skin cancer that can be lethal if not diagnosed and treated early. This paper presents a deep-learning approach for the automatic identification of melanoma on dermoscopic images from the ISIC Archive dataset and non-dermoscopic images from the MED-NODE dataset. The method involves the development of Convolutional Neural Network (CNN) and ResNet50 models, along with various pre-processing techniques. The CNN and ResNet50 models detect melanoma from dermoscopic images with 98.07% and 99.83% accuracy respectively, using hair removal and augmentation techniques. For

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Janaki, R., and S. Nirmala Devi. "Characteristics study of dermoscopic images." International Journal of Biomedical Engineering and Technology 24, no. 4 (2017): 393. http://dx.doi.org/10.1504/ijbet.2017.085444.

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Janaki, R., and S. Nirmala Devi. "Characteristics study of dermoscopic images." International Journal of Biomedical Engineering and Technology 24, no. 4 (2017): 393. http://dx.doi.org/10.1504/ijbet.2017.10006078.

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Camela, Elisa, Paula Ilut Anca, Konstantinos Lallas, et al. "Dermoscopic Clues of Histopathologically Aggressive Basal Cell Carcinoma Subtypes." Medicina 59, no. 2 (2023): 349. http://dx.doi.org/10.3390/medicina59020349.

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Background: The group of histopathologically aggressive BCC subtypes includes morpheaform, micronodular, infiltrative and metatypical BCC. Since these tumors are at increased risk of recurring, micrographically controlled surgery is considered the best therapeutic option. Although dermoscopy significantly improves the clinical recognition of BCC, scarce evidence exists on their dermoscopic criteria. Aim: To investigate the dermoscopic characteristics of histopathologically aggressive BCC subtypes. Materials and Methods: Dermoscopic images of morpheaform, micronodular, infiltrative and metatypi

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Karampinis, Emmanouil, Olga Toli, Konstantina-Eirini Georgopoulou, et al. "Exploring Pediatric Dermatology in Skin of Color: Focus on Dermoscopy." Life 14, no. 12 (2024): 1604. https://doi.org/10.3390/life14121604.

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This literature review aims to comprehensively evaluate the clinical and dermoscopic presentations of common pediatric diseases among children with skin of color (SoC) while also addressing potential variations based on racial backgrounds. This review encompasses various conditions, such as nevi subtypes, viral infections, infestations, and inflammatory dermatoses, as well as hair diseases and abnormal vascular formations, occurring in pediatric populations. Overall, we identified 7 studies on nevi subtypes, 24 studies on skin infections, 6 on inflammatory dermatoses, 10 on hair diseases and d

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Abbas, Tahir, Muhammad Kashan Basit, Jamshaid Iqbal Janjua, Bushra Tanveer Naqvi, and Muhammad Irfan. "Optimal Solution for Segmentation of Malignant Melanoma Dermoscopic Images." STATISTICS, COMPUTING AND INTERDISCIPLINARY RESEARCH 5, no. 2 (2023): 39–49. http://dx.doi.org/10.52700/scir.v5i2.127.

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Melanoma Malignant (MM) is the most common and dangerous form of skin cancer, which is analyzed by using Dermoscopic images in computer sciences. Segmentation technique is used to separate lesion part from healthy part in Dermoscopic images. In this research, comparison of different most popular segmented Dermoscopic image technique like Type-2 Fuzzy, Hybrid Threshold, Wavelet, Gradient Vector Flow (GVF), and Watershed etc. is approached and then better segmentation technique is proposed. In these segmentation techniques different issues like problem of hair, different color lesion, specular r

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Mello-Román, Julio César, José Luis Vázquez Noguera, Horacio Legal-Ayala, et al. "Dermoscopy Images Enhancement via Multi-Scale Morphological Operations." Applied Sciences 11, no. 19 (2021): 9302. http://dx.doi.org/10.3390/app11199302.

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Skin dermoscopy images frequently lack contrast caused by varying light conditions. Indeed, often low contrast is seen in dermoscopy images of melanoma, causing the lesion to blend in with the surrounding skin. In addition, the low contrast prevents certain details from being seen in the image. Therefore, it is necessary to design an approach that can enhance the contrast and details of dermoscopic images. In this work, we propose a multi-scale morphological approach to reduce the impacts of lack of contrast and to enhance the quality of the images. By top-hat reconstruction, the local bright

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Yali, Zhang, Xu Aiqin, and Qiu Baiyi. "Dermoscopic characterization and clinical application of four facial erythematous inflammatory dermatoses." BIO Web of Conferences 59 (2023): 03014. http://dx.doi.org/10.1051/bioconf/20235903014.

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Use dermoscope to identify inflammatory dermatoses with facial erythema as the main feature and other atypical clinical manifestations. By reviewing the clinical data and dermoscopic images of outpatients in our hospital, four diseases of rosacea, seborrheic dermatitis, contact dermatitis and atopic dermatitis were screened out, and their dermoscopic characteristics were obtained: Rosacea is a diffuse distribution of polygonal blood vessels on a red or purple background; SD is an atypical vascularity on a yellow-red background with an oil-drop reddish halo around the hair follicle. Contact der

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Jaworek-Korjakowska, Joanna. "Novel Method for Border Irregularity Assessment in Dermoscopic Color Images." Computational and Mathematical Methods in Medicine 2015 (2015): 1–11. http://dx.doi.org/10.1155/2015/496202.

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Background. One of the most important lesion features predicting malignancy is border irregularity. Accurate assessment of irregular borders is clinically important due to significantly different occurrence in benign and malignant skin lesions.Method. In this research, we present a new approach for the detection of border irregularities, as one of the major parameters in a widely used diagnostic algorithm the ABCD rule of dermoscopy. The proposed work is focused on designing an efficient automatic algorithm containing the following steps: image enhancement, lesion segmentation, borderline calc

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Anand, Vatsala, Sheifali Gupta, Deepika Koundal, Soumya Ranjan Nayak, Paolo Barsocchi, and Akash Kumar Bhoi. "Modified U-NET Architecture for Segmentation of Skin Lesion." Sensors 22, no. 3 (2022): 867. http://dx.doi.org/10.3390/s22030867.

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Dermoscopy images can be classified more accurately if skin lesions or nodules are segmented. Because of their fuzzy borders, irregular boundaries, inter- and intra-class variances, and so on, nodule segmentation is a difficult task. For the segmentation of skin lesions from dermoscopic pictures, several algorithms have been developed. However, their accuracy lags well behind the industry standard. In this paper, a modified U-Net architecture is proposed by modifying the feature map’s dimension for an accurate and automatic segmentation of dermoscopic images. Apart from this, more kernels to t

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Teo, Daryl, Aparna Potluru, and Kazeem Salako. "BT20 Comparison of colour accuracy of a DSLR camera and mobile phone cameras used for dermoscopy images: a pilot study." British Journal of Dermatology 191, Supplement_1 (2024): i198. http://dx.doi.org/10.1093/bjd/ljae090.417.

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Abstract Dermatology, being a visual specialty, lends itself well to the advent of telemedicine. Utilization of teledermatology has been greatly expanded since the COVID-19 pandemic. Patients are increasingly making use of their own personal devices to capture images of their skin conditions to show the clinician. Advances in cameras of mobile phone devices have also encouraged good-quality image capturing. However, mobile phone cameras have inbuilt software that is often calibrated to deliver appealing consumer photography. Each company has their own software and marketing regarding this. The

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Rubegni, Giovanni, Alessandra Cartocci, Linda Tognetti, et al. "Dermoscopy Training Course Improves Ophthalmologists’ Accuracy in Diagnosing Atypical Pigmented Periorbital Skin Lesions." Diagnostics 14, no. 22 (2024): 2571. http://dx.doi.org/10.3390/diagnostics14222571.

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Background/Objectives: Facial pigmented skin lesions are extremely common, starting from the fourth to fifth decades, especially in South-European countries, often located in the periorbital region. These include malignant forms, Lentigo maligna (LM) and lentigo maligna melanoma (LMM), characterized by growing incidence, and a series of benign simulators, including solar lentigo (SL), pigmented actinic keratosis (PAK), seborrheic keratosis (SK) and lichen planus-like keratosis (LPK). The clinical differential diagnosis of atypical pigmented skin lesions (aPFLs) can be difficult, even for derma

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Scope, Alon, Marco Burroni, Anna Liza Chan Agero, et al. "Predominant Dermoscopic Patterns Observed among Nevi." Journal of Cutaneous Medicine and Surgery 10, no. 4 (2006): 170–74. http://dx.doi.org/10.2310/7750.2006.00045.

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Background: It has been clinically observed that patients' “normal” moles resemble each other. Whether this concept is applicable to dermoscopic practice has not been sufficiently studied. Objective: To investigate whether physicians evaluating dermoscopic images would identify common dermoscopic profiles of nevi within individual patients. Methods: Images of 205 nevi belonging to 18 patients were evaluated by 2 dermatologists for dermoscopic global pattern, color, and specific structures. We defined dermoscopic patterns as dominant if seen in ≥ 40% of the patient's nevi; a minor pattern was d

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Møllersen, Kajsa, Herbert M. Kirchesch, Thomas G. Schopf, and Fred Godtliebsen. "Unsupervised segmentation for digital dermoscopic images." Skin Research and Technology 16, no. 4 (2010): 401–7. http://dx.doi.org/10.1111/j.1600-0846.2010.00455.x.

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Blum, Andreas, Jennifer Clemens, and Giuseppe Argenziano. "Modified Dermoscopic Algorithm for the Differentiation between Melanocytic and Nonmelanocytic Skin Tumors." Journal of Cutaneous Medicine and Surgery 10, no. 2 (2006): 73–78. http://dx.doi.org/10.2310/7750.2006.00021.

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Background: The use of dermoscopy (dermatoscopy, epiluminescence microscopy, surface microscopy) improves the clinical diagnostic accuracy of skin tumors by applying different algorithms or scores. The first step in the dermoscopic evaluation is the differentiation between melanocytic and nonmelanocytic skin tumors. Objective: To evaluate the diagnostic accuracy of the established dermoscopic algorithm (EDA) and the modified dermoscopic algorithm (MDA) for melanocytic versus nonmelanocytic skin tumors. Methods: Two hundred forty-nine patients with melanocytic and nonmelanocytic skin lesions we

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PK, Adharsh. "Identification Of Melanoma from Hyperspectral Pathological Image." INTERANTIONAL JOURNAL OF SCIENTIFIC RESEARCH IN ENGINEERING AND MANAGEMENT 09, no. 03 (2025): 1–9. https://doi.org/10.55041/ijsrem43102.

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elanoma is responsible for 75% of skin cancer-related deaths, but early detection and treatment offer a 99% survival rate. Traditional diagnostic methods include dermoscopic and histopathological analysis. However, existing systems rely on 2D dermoscopic images, which lose crucial features due to their limited dimensionality, reducing diagnostic accuracy. Additionally, 2D images fail to provide early-stage melanoma detection. To overcome these limitations, we propose using 3D hyperspectral pathology images, which preserve all essential features during extraction, ensuring more accurate results

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Jütte, Lennart, Zhiyao Yang, Gaurav Sharma, and Bernhard Roth. "Focus stacking in non-contact dermoscopy." Biomedical Physics & Engineering Express, October 7, 2022. http://dx.doi.org/10.1088/2057-1976/ac9847.

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Abstract Dermoscopy is the main tool for early detection of skin cancer. Non-contact dermoscopes often suffer from a small depth of field leading to images of skin topographies with regions that are not in focus. We aim to provide an easy-to-implement focus stacking-based approach to ensure all-in-focus images from a non-contact dermoscope. Further, we aim to extract additional information about the skin topography from the image stacks. The focus stacking procedure itself is implemented in a non-contact dermoscope with an electrically adjustable focus realized by using a tunable liquid lens.

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Seiverling, Elizabeth, Danielle Li, Kathryn Stevens, Peggy Cyr, Gregory Dorr, and Hadjh Ahrns. "Distance Learning and Spaced Review to Complement Dermoscopy Training for Primary Care." Dermatology Practical & Conceptual, April 12, 2021, e2021030. http://dx.doi.org/10.5826/dpc.1102a30.

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Background: Dermoscopy aids in skin cancer identification. For family physicians who use dermoscopy, there is higher sensitivity for melanoma detection than naked-eye examination. There is a shortage of dermoscopy training for primary care providers. The Triage Amalgamated Dermoscopic Algorithm (TADA) is designed for novice dermoscopists. While TADA can be taught in a short dermoscopy workshop, spaced review and blended learning strategies improve knowledge retention. Objectives: This study determined the impact that the addition of a distance learning platform has on clinical dermoscopy

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Nakamura, Mio, Tomas Huerta, Kendrick Williams, Alexandra Hristov, and Trilokraj Tejasvi. "Dermoscopic Features of Mycosis Fungoides and Its Variants in Patients with Skin of Color: A Retrospective Analysis." Dermatology Practical & Conceptual, May 20, 2021, 2021048. http://dx.doi.org/10.5826/dpc.1103a48.

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Background: Mycosis fungoides (MF) is a cutaneous T-cell lymphoma that disproportionately affects people with skin of color and is difficult to diagnose. Objective: This study characterized the dermoscopic features of MF and its subtypes in patients with skin of color. Methods: Dermoscopic images of patients with skin of color seen at the cutaneous T-cell lymphoma clinic at Michigan Medicine Dermatology between 2018 and 2019 were reviewed. Specific dermoscopic features were identified and summarized for each subtype of MF. Results: A total of 33 dermoscopic images from 11 pat

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Abdul Gafoor, Shafiah Muna, Toby Nelson, Emma Woodcock, and Btari Adityani. "Patient-led teledermatology for skin lesion triage: A service evaluation of the Dyplens Dermoscope." Clinical and Experimental Dermatology, January 25, 2024. http://dx.doi.org/10.1093/ced/llae031.

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Abstract Background Despite the massive enhancement in smartphone-cameras, there has not been any real interest within the UK to pursue patient-facing teledermatology within the sphere of skin lesion triage. High-spec dermoscopic images can be generated with smart-phone attachments, but to date, no formal clinical trial has been performed to establish the efficacy and feasibility of these consumer-level dermoscopes in skin lesion triage. Objectives To assess the ability of patients to capture dermoscopic images using a smartphone-attachment To identify the safety and diagnostic accuracy of con

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Chen, Jennifer Y., Kristen Fernandez, Raj P. Fadadu, et al. "Skin Cancer Diagnosis by Lesion, Physician, and Examination Type." JAMA Dermatology, November 13, 2024. http://dx.doi.org/10.1001/jamadermatol.2024.4382.

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ImportanceSkin cancer is the most common cancer in the US; accurate detection can minimize morbidity and mortality.ObjectiveTo assess the accuracy of skin cancer diagnosis by lesion type, physician specialty and experience, and physical examination method.Data SourcesPubMed, Embase, and Web of Science.Study SelectionCross-sectional and case-control studies, randomized clinical trials, and nonrandomized controlled trials that used dermatologists or primary care physicians (PCPs) to examine keratinocytic and/or melanocytic skin lesions were included.Data Extraction and SynthesisSearch terms, stu

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Rosés-Gibert, Pau, Cristina Heras, Narcis Ricart, et al. "Standard Dermatoscope Images vs an Autonomous Total Body Photography and Dermoscopic Imaging Device." JAMA Dermatology, April 9, 2025. https://doi.org/10.1001/jamadermatol.2025.0565.

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ImportanceRecent advancements in autonomous medical devices for skin imaging offer the potential to improve the efficiency and quality of total body photography (TBP) and dermatoscopic documentation, which are essential in treating patients with skin cancer, especially those with high-risk melanoma with atypical mole syndrome.ObjectiveTo compare the image quality and time efficiency of an autonomous TBP and dermoscopic device for TBP and dermoscopic imaging with traditional manual digital dermoscopic techniques.Design, Setting, and ParticipantsA prospective cohort study was conducted from Marc

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Karstarli Bakay, Ozge Sevil, Nida Kacar, Melis Gonulal, et al. "Dermoscopic Features of Cutaneous Vasculitis." Dermatology Practical & Conceptual, January 31, 2024, e2024051. http://dx.doi.org/10.5826/dpc.1401a51.

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Introduction: Dermoscopy has become widespread in the diagnosis of inflammatory skin diseases. Cutaneous vasculitis (CV) is characterized by inflammation of vessels, and a rapid and reliable technique is required for the diagnosis. Objectives: We aimed to define CV dermoscopic features and increase the diagnostic accuracy of dermoscopy with machine learning (ML) methods. Methods: Eighty-nine patients with clinically suspected CV were included in the study. Dermoscopic images were obtained before biopsy using a polarized dermoscopy. Dermoscopic images were independently evaluated, and interobse

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Ji, Honghai, Jiaqi Li, Xiaoyang Zhu, Lingling Fan, Weiwei Jiang, and Yang Chen. "Enhancing assisted diagnostic accuracy in scalp psoriasis: A Multi‐Network Fusion Object Detection Framework for dermoscopic pattern diagnosis." Skin Research and Technology 30, no. 4 (2024). http://dx.doi.org/10.1111/srt.13698.

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AbstractBackgroundDermoscopy is a common method of scalp psoriasis diagnosis, and several artificial intelligence techniques have been used to assist dermoscopy in the diagnosis of nail fungus disease, the most commonly used being the convolutional neural network algorithm; however, convolutional neural networks are only the most basic algorithm, and the use of object detection algorithms to assist dermoscopy in the diagnosis of scalp psoriasis has not been reported.ObjectivesEstablishment of a dermoscopic modality diagnostic framework for scalp psoriasis based on object detection technology a

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-, Mr Ashwin Raju Dhanorkar, and Dr Amit K. Gaikwad -. "Melanosis Detection using Machine Learning from Basal Cell Carcinoma." International Journal For Multidisciplinary Research 5, no. 3 (2023). http://dx.doi.org/10.36948/ijfmr.2023.v05i03.4163.

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Basal cell carcinoma (BCC) is the most common type of skin cancer, and early detection is crucial for successful treatment. Dermoscopy is a widely used technique for the diagnosis of skin lesions, which provides high-resolution images of the skin surface. However, the diagnostic process is still based on the visual inspection of the images by a dermatologist, which can be subject to human error. In recent years, machine learning techniques, particularly convolutional neural networks (CNNs), have been applied to the analysis of dermoscopic images with promising results. In this Paper, we propos

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Rogers, Tova, Myles Randolph McCrary, Howa Yeung, Loren Krueger, and Suephy Chen. "Dermoscopic Photographs Impact Confidence and Management of Remotely Triaged Skin Lesions." Dermatology Practical & Conceptual, July 28, 2022, e2022129. http://dx.doi.org/10.5826/dpc.1203a129.

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Background: Improving remote triage is crucial given expansions in teledermatology and with limited in-person care during COVID-19. In addition to clinical pictures, dermoscopic images may provide utility for triage.  Objective: To determine if dermoscopic photographs enhance confidence, triage accuracy, and triage prioritization for teledermatology.  Methods: In this parallel convergent mixed-methods study, a cohort of dermatologists and residents assessed skin lesions using clinical and dermoscopic photographs. For each case, participants viewed a clinical photograph

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Malik, Fiza Saeed, Muhammad Haroon Yousaf, Hassan Ahmed Sial, and Serestina Viriri. "Exploring dermoscopic structures for melanoma lesions' classification." Frontiers in Big Data 7 (March 25, 2024). http://dx.doi.org/10.3389/fdata.2024.1366312.

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BackgroundMelanoma is one of the deadliest skin cancers that originate from melanocytes due to sun exposure, causing mutations. Early detection boosts the cure rate to 90%, but misclassification drops survival to 15–20%. Clinical variations challenge dermatologists in distinguishing benign nevi and melanomas. Current diagnostic methods, including visual analysis and dermoscopy, have limitations, emphasizing the need for Artificial Intelligence understanding in dermatology.ObjectivesIn this paper, we aim to explore dermoscopic structures for the classification of melanoma lesions. The training

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