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Journal articles on the topic 'Medical image visualisation systems'

Author: Grafiati

Published: 8 September 2021

Last updated: 29 July 2025

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1

Niemitz, Lorenzo, Stefan D. van der Stel, Simon Sorensen, et al. "Microcamera Visualisation System to Overcome Specular Reflections for Tissue Imaging." Micromachines 14, no. 5 (2023): 1062. http://dx.doi.org/10.3390/mi14051062.

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In vivo tissue imaging is an essential tool for medical diagnosis, surgical guidance, and treatment. However, specular reflections caused by glossy tissue surfaces can significantly degrade image quality and hinder the accuracy of imaging systems. In this work, we further the miniaturisation of specular reflection reduction techniques using micro cameras, which have the potential to act as intra-operative supportive tools for clinicians. In order to remove these specular reflections, two small form factor camera probes, handheld at 10 mm footprint and miniaturisable to 2.3 mm, are developed us

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Samantaray, Minu, Millee Panigrahi, and Krishna Chandra Patra. "An improvised coral reef optimization-based image registration using modified mutual information method." Indonesian Journal of Electrical Engineering and Computer Science 31, no. 1 (2023): 126. http://dx.doi.org/10.11591/ijeecs.v31.i1.pp126-133.

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Computer visualisation and medical applications require image registration. It includes transforming collective picture data into the familiar coordinate scheme. Metaheuristic-based methods were developed to explain the issue and improve the efficiency and accuracy of conventional image registration techniques due to their limitations. We describe a hybrid medical image registration technique using bio-inspired meta-heuristic algorithms: Betteroffspring and multi-crossover strategies increase convergent time and solution quality with an improvised coral reef optimization with modified mutual i

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Dzhioeva, O. "Mobile Ultrasound Systems as a Modern Tool for the Doctor." Medical University 2, no. 4 (2019): 134–38. http://dx.doi.org/10.2478/medu-2019-0018.

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Abstract Miniaturisation of ultrasound equipment in the form of a tablet- or smartphone-sized scanner is the result of rapid development of modern medical technology. Availability of mobile ultrasound devices has changed our approach to diagnostics of many cardiovascular diseases. Mobile visualisation can be performed at the patient’s bedside and is simple in use. The information obtained from mobile visualisation, despite being incomplete, is of undoubtable value for rapid diagnosis which leads to early treatment onset. These devices possess unique characteristics: low cost, wide availability

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von Pichler, C., S. Fischer, K. Radermacher, and G. Rau. "The Impact of 3-D Video Endoscopy on Binocular Perception and Visually Guided Manipulation." Perception 26, no. 1_suppl (1997): 36. http://dx.doi.org/10.1068/v970128.

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Monocular video endoscopic systems are established in the clinical routine of surgical endoscopy. The introduction of 3-D video systems could improve visualisation of the intracorporal operating site because of the stereoscopic depth information. The goal of our investigations has been to quantify the influence of this visualisation technology on visual perception, on visually controlled endoscopic manipulations, and on the intraoperative performance, including ergonomic and psychophysical aspects. These results are used to define guidelines for improvement and for the integration of such syst

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Palmer, R. L., P. Helmholz, and G. Baynam. "CLINIFACE: PHENOTYPIC VISUALISATION AND ANALYSIS USING NON-RIGID REGISTRATION OF 3D FACIAL IMAGES." ISPRS - International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences XLIII-B2-2020 (August 12, 2020): 301–8. http://dx.doi.org/10.5194/isprs-archives-xliii-b2-2020-301-2020.

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Abstract. Facial appearance has long been understood to offer insight into a person’s health. To an experienced clinician, atypical facial features may signify the presence of an underlying rare or genetic disease. Clinicians use their knowledge of how disease affects facial appearance along with the patient’s physiological and behavioural traits, and their medical history, to determine a diagnosis. Specialist expertise and experience is needed to make a dysmorphological facial analysis. Key to this is accurately assessing how a face is significantly different in shape and/or growth compared t

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Palma, Belén, Pablo Casanova-Salas, Jesús Gimeno, Manuel Pérez-Aixendri, and José Vicente Riera. "Exploring Immersive Solutions for Surgery in the Virtuality Continuum: A Review." Surgeries 6, no. 2 (2025): 35. https://doi.org/10.3390/surgeries6020035.

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The evolution of technology and computer graphics algorithms has had a significant impact on the healthcare sector. It is possible to find proposals using virtual reality or augmented reality devices focused on multiple areas, such as education and skills acquisition, the visualisation of results, and disease detection or surgical planning. The use of these new technologies allows the generation of flexible spaces in which the spatial visualisation of clinical data, such as medical images, is enhanced. This also promotes collaboration between different members of the healthcare community. This

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Lysachenko, O. D., V. I. Shepitko, N. V. Boruta, L. B. Pelypenko, O. V. Vilkhova, and O. V. Voloshina. "VISUALISATION OF HISTOLOGICAL SPECIMENS AND TASKS AS A TECHNIQUE TO IMPROVE KNOWLEDGE, SKILLS AND ABILITIES OF MEDICAL STUDENTS." Актуальні проблеми сучасної медицини: Вісник Української медичної стоматологічної академії 23, no. 2.2 (2023): 85–87. http://dx.doi.org/10.31718/2077-1096.23.2.2.85.

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The purpose of this study is to explore the role of visualization of histological tasks in improving the quality of knowledge, abilities, and skills of medical students by summarizing the work experience of the Department of Histology, Cytology, and Embryology. In the field of higher medical education, the discipline of "Histology, Cytology, and Embryology" is crucial as it forms the foundation of students' understanding of the microscopic and functional morphology, structure, development, and regeneration of human cellular, tissue, and organ systems. However, first-year medical students

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Rahman, Md Masudur, Mahzabeen Islam, Mahbuba Nargis, et al. "Ultrasound elastography applications." Community Based Medical Journal 2, no. 1 (2013): 76–85. http://dx.doi.org/10.3329/cbmj.v2i1.14191.

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Ultrasound elastography (EUS) is a method to assess the mechanical properties of tissue, by applying stress and detecting tissue displacement using ultrasound. There are several EUS techniques used in clinical practice; strain (compression) EUS is the most common technique that allows real-time visualisation of the elastographic map on the screen. There is increasing evidence that EUS can be used to measure the mechanical properties of musculoskeletal tissue in clinical practice, with the future potential for early diagnosis to both guide and monitor therapy. This review describes the various

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9

Deng, Shujie, Gavin Wheeler, Nicolas Toussaint, et al. "A Virtual Reality System for Improved Image-Based Planning of Complex Cardiac Procedures." Journal of Imaging 7, no. 8 (2021): 151. http://dx.doi.org/10.3390/jimaging7080151.

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The intricate nature of congenital heart disease requires understanding of the complex, patient-specific three-dimensional dynamic anatomy of the heart, from imaging data such as three-dimensional echocardiography for successful outcomes from surgical and interventional procedures. Conventional clinical systems use flat screens, and therefore, display remains two-dimensional, which undermines the full understanding of the three-dimensional dynamic data. Additionally, the control of three-dimensional visualisation with two-dimensional tools is often difficult, so used only by imaging specialist

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10

Jung, Younhyun, Jinman Kim, Ashnil Kumar, David Dagan Feng, and Michael Fulham. "Efficient visibility-driven medical image visualisation via adaptive binned visibility histogram." Computerized Medical Imaging and Graphics 51 (July 2016): 40–49. http://dx.doi.org/10.1016/j.compmedimag.2016.04.003.

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11

Saridou, Betty, Isidoros Moulas, Stavros Shiaeles та Basil Papadopoulos. "Image-Based Malware Detection Using α-Cuts and Binary Visualisation". Applied Sciences 13, № 7 (2023): 4624. http://dx.doi.org/10.3390/app13074624.

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Image conversion of malicious binaries, or binary visualisation, is a relevant approach in the security community. Recently, it has exceeded the role of a single-file malware analysis tool and has become a part of Intrusion Detection Systems (IDSs) thanks to the adoption of Convolutional Neural Networks (CNNs). However, there has been little effort toward image segmentation for the converted images. In this study, we propose a novel method that serves a dual purpose: (a) it enhances colour and pattern segmentation, and (b) it achieves a sparse representation of the images. According to this, w

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Kurmangulov, A. A., E. E. Korchagin, Yu S. Reshetnikova, N. I. Golovina, and N. S. Brynza. "Colour Solutions in Navigation Support as an Indicator of Visualisation Effi ciency in a Modern Hospital (A Review)." Kuban Scientific Medical Bulletin 27, no. 5 (2020): 128–43. http://dx.doi.org/10.25207/1608-6228-2020-27-5-128-143.

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Background. Provided stronger demands of people towards healthcare systems, changes in the legal framework and increasing competition, medical institutions are seeking new approaches and mechanisms for improving comfort of medical care services. Navigation support as part of the visualisation system in a medical unit should comply with certain standards of colour design and its comfortable presentation to patients.Objectives. To formulate basic principles for effective colour navigation support in medical facilities using best national and foreign practices of colour design for navigation and

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13

Merle, Mathilde, Florent Collot, Julien Castelneau, et al. "MUSIC: Cardiac Imaging, Modelling and Visualisation Software for Diagnosis and Therapy." Applied Sciences 12, no. 12 (2022): 6145. http://dx.doi.org/10.3390/app12126145.

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The tremendous advancement of cardiac imaging methods, the substantial progress in predictive modelling, along with the amount of new investigative multimodalities, challenge the current technologies in the cardiology field. Innovative, robust and multimodal tools need to be created in order to fuse imaging data (e.g., MR, CT) with mapped electrical activity and to integrate those into 3D biophysical models. In the past years, several cross-platform toolkits have been developed to provide image analysis tools to help build such software. The aim of this study is to introduce a novel multimodal

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Smallridge, M. W., T. E. Aktepe, M. J. C. Coppo, et al. "Three-dimensional exploration of the chicken embryo, a comparative study of light sheet and histological visualisation." PLOS ONE 20, no. 4 (2025): e0320483. https://doi.org/10.1371/journal.pone.0320483.

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Ultramicroscopy has offered new avenues into the visualisation of tissues within animal models, providing three-dimensional visualisation through the use of light sheet fluorescence microscopy. This study aimed to develop and apply an optical tissue clearing method to investigate the application of light sheet fluorescence microscopy to image late-stage chicken embryos, and compare anatomical visualisation to traditional histological staining. Seventeen-day old specific pathogen free embryos were collected, fixed, and sectioned. Haematoxylin and eosin stained sections were prepared for histolo

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15

Hata, Yutaka. "Image Understanding on Medical Images : Toward Medical Image Understanding Systems." Journal of Japan Society for Fuzzy Theory and Intelligent Informatics 17, no. 1 (2005): 11–18. http://dx.doi.org/10.3156/jsoft.17.11.

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16

Xu, Flora Wen Xin, Amanda Min Hui Choo, Pamela Li Ming Ting, Shao Jin Ong, and Deborah Khoo. "Leveraging AI in Postgraduate Medical Education for Rapid Skill Acquisition in Ultrasound-Guided Procedural Techniques." Journal of Imaging 9, no. 10 (2023): 225. http://dx.doi.org/10.3390/jimaging9100225.

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Ultrasound-guided techniques are increasingly prevalent and represent a gold standard of care. Skills such as needle visualisation, optimising the target image and directing the needle require deliberate practice. However, training opportunities remain limited by patient case load and safety considerations. Hence, there is a genuine and urgent need for trainees to attain accelerated skill acquisition in a time- and cost-efficient manner that minimises risk to patients. We propose a two-step solution: First, we have created an agar phantom model that simulates human tissue and structures like v

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17

Bartsch, D. U. "Improved visualisation of choroidal neovascularisation by scanning laser ophthalmoscope using image averaging." British Journal of Ophthalmology 89, no. 8 (2005): 1026–30. http://dx.doi.org/10.1136/bjo.2004.057364.

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18

Saridou, Betty, Joseph Ryan Rose, Stavros Shiaeles, and Basil Papadopoulos. "SAGMAD—A Signature Agnostic Malware Detection System Based on Binary Visualisation and Fuzzy Sets." Electronics 11, no. 7 (2022): 1044. http://dx.doi.org/10.3390/electronics11071044.

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Image conversion of byte-level data, or binary visualisation, is a relevant approach to security applications interested in malicious activity detection. However, in practice, binary visualisation has always been seen to have great limitations when dealing with large volumes of data, and would be a reluctant candidate as the core building block of an intrusion detection system (IDS). This is due to the requirements of computational time when processing the flow of byte data into image format. Machine intelligence solutions based on colour tone variations that are intended for pattern recogniti

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19

Schneider, C., S. Thompson, J. Totz, et al. "Comparison of manual and semi-automatic registration in augmented reality image-guided liver surgery: a clinical feasibility study." Surgical Endoscopy 34, no. 10 (2020): 4702–11. http://dx.doi.org/10.1007/s00464-020-07807-x.

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Abstract Background The laparoscopic approach to liver resection may reduce morbidity and hospital stay. However, uptake has been slow due to concerns about patient safety and oncological radicality. Image guidance systems may improve patient safety by enabling 3D visualisation of critical intra- and extrahepatic structures. Current systems suffer from non-intuitive visualisation and a complicated setup process. A novel image guidance system (SmartLiver), offering augmented reality visualisation and semi-automatic registration has been developed to address these issues. A clinical feasibility

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20

Meleshkina, Elena Anatolievna, and Anna Aleksandrovna Davydova. "Specificity of Applying the Image Visualisation Method in the Process of Piano Students Training." Pedagogika. Voprosy teorii i praktiki, no. 5 (April 2021): 865–70. http://dx.doi.org/10.30853/ped210123.

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21

van der Hulst, J. M., D. Punzo, and J. B. T. M. Roerdink. "3-D interactive visualisation tools for Hispectral line imaging." Proceedings of the International Astronomical Union 12, S325 (2016): 305–10. http://dx.doi.org/10.1017/s174392131700134x.

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AbstractUpcoming HI surveys will deliver such large datasets that automated processing using the full 3-D information to find and characterize HI objects is unavoidable. Full 3-D visualization is an essential tool for enabling qualitative and quantitative inspection and analysis of the 3-D data, which is often complex in nature. Here we presentSlicerAstro, an open-source extension of3DSlicer, a multi-platform open source software package for visualization and medical image processing, which we developed for the inspection and analysis of HI spectral line data. We describe its initial capabilit

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22

Tournier, J.-Donald, Robert Smith, David Raffelt, et al. "MRtrix3: A fast, flexible and open software framework for medical image processing and visualisation." NeuroImage 202 (November 2019): 116137. http://dx.doi.org/10.1016/j.neuroimage.2019.116137.

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23

Tauscher, Sebastian, Junichi Tokuda, Günter Schreiber, Thomas Neff, Nobuhiko Hata, and Tobias Ortmaier. "OpenIGTLink interface for state control and visualisation of a robot for image-guided therapy systems." International Journal of Computer Assisted Radiology and Surgery 10, no. 3 (2014): 285–92. http://dx.doi.org/10.1007/s11548-014-1081-1.

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24

Glenn, Marcus E. "Image compression for medical imaging systems." Journal of Medical Systems 11, no. 2-3 (1987): 149–56. http://dx.doi.org/10.1007/bf00992349.

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25

Yin, Yanchuan. "CT Image Reconstruction and Optimisation with Unsupervised Deep Learning." Applied and Computational Engineering 118, no. 1 (2025): 95–100. https://doi.org/10.54254/2755-2721/2025.20843.

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The quality of computed tomography (CT) images is often affected by various issues, such as the patients movement or hardening of the beam and the fact that high doses of radiation cannot be used due to considerations for human health. Traditional CT image reconstruction methods and learn-based CT image reconstruction techniques face challenges such as missing edge information, ring artifacts and obvious data dependence. We applied the unsupervised learning model to the field of medical images, completed the denoising, high-resolution, inpainting and restoration tasks of CT images, and optimis

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Powers, Jeff, and Frederick Kremkau. "Medical ultrasound systems." Interface Focus 1, no. 4 (2011): 477–89. http://dx.doi.org/10.1098/rsfs.2011.0027.

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Medical ultrasound imaging has advanced dramatically since its introduction only a few decades ago. This paper provides a short historical background, and then briefly describes many of the system features and concepts required in a modern commercial ultrasound system. The topics addressed include array beam formation, steering and focusing; array and matrix transducers; echo image formation; tissue harmonic imaging; speckle reduction through frequency and spatial compounding, and image processing; tissue aberration; Doppler flow detection; and system architectures. It then describes some of t

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27

Bodys, Jakub, Michal Palacz, Michal Haida, et al. "Experimental investigation of R744 transcritical flow and mixing in the two-phase ejector." Journal of Physics: Conference Series 2177, no. 1 (2022): 012044. http://dx.doi.org/10.1088/1742-6596/2177/1/012044.

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Abstract In this work, the laboratory test rig for visualisation of the CO2 ejector is shortly presented. The internal flow structures in the premixing chamber and expansion cone are visualised using two different measurement arrangements, i.e. Particle Image Velocimetry (PIV) system and high-speed camera system. Both systems allow to determine some characteristic features of the R744 flows and propose some important quantities (i.e. expansion and mixing angles) describing expansion and mixing processes. Potentials of those preliminary results for field validation data are also pointed out.

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Wang, Jing, Jingyang Gao, and Cheng Ling. "Deletion genotype calling on the basis of sequence visualisation and image classification." International Journal of Data Mining and Bioinformatics 20, no. 2 (2018): 109. http://dx.doi.org/10.1504/ijdmb.2018.093682.

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29

Minu, Samantaray, Panigrahi Millee, and Chandra Patra Krishna. "An improvised coral reef optimization-based image registration using modified mutual information method." An improvised coral reef optimization-based image registration using modified mutual information method 31, no. 1 (2023): 126–33. https://doi.org/10.11591/ijeecs.v31.i1.pp126-133.

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Computer visualisation and medical applications require image registration. It includes transforming collective picture data into the familiar coordinate scheme. Metaheuristic-based methods were developed to explain the issue and improve the efficiency and accuracy of conventional image registration techniques due to their limitations. We describe a hybrid medical image registration technique using bio-inspired meta-heuristic algorithms: Betteroffspring and multi-crossover strategies increase convergent time and solution quality with an improvised coral reef optimization with modified mutual i

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30

Bikonis, Krzysztof, Marek Moszynski, and Zbigniew Lubniewski. "Application of Shape From Shading Technique for Side Scan Sonar Images." Polish Maritime Research 20, no. 3 (2013): 39–44. http://dx.doi.org/10.2478/pomr-2013-0033.

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Abstract Digital signal processing technology has revolutionized a way of processing, visualisation and interpretation of data acquired by underwater systems. Through many years side scan sonars were one of the most widely used imaging systems in the underwater environment. Although they are relatively cheap and easy to deploy, more powerful sensors like multibeam echo sounders and sonars are widely used today and deliver 3D bathymetry of sea bottom terrain. Side scan sonar outputs data usually in a form of grey level 2D acoustic images but the analysis of such pictures performed by human eye

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Ibbott, G. S. "The need for, and implementation of, image guidance in radiation therapy." Annals of the ICRP 47, no. 3-4 (2018): 160–76. http://dx.doi.org/10.1177/0146645318764092.

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The introduction of image guidance in radiation therapy and its subsequent innovations have revolutionised the delivery of cancer treatment. Modern imaging systems can supplement and often replace the historical practice of relying on external landmarks and laser alignment systems. Rather than depending on markings on the patient’s skin, image-guided radiation therapy (IGRT), using techniques such as computed tomography (CT), cone beam CT, MV on-board imaging (OBI), and kV OBI, allows the patient to be positioned based on the internal anatomy. These advances in technology have enabled more acc

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32

Lafon, Dominique, and Tahiana Ramananantoandro. "COLOR IMAGES." Image Analysis & Stereology 21, no. 4 (2011): 61. http://dx.doi.org/10.5566/ias.v21.ps61-s74.

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The goal of this article is to present specific capabilities and limitations of the use of color digital images in a characterization process. The whole process is investigated, from the acquisition of digital color images to the analysis of the information relevant to various applications in the field of material characterization. A digital color image can be considered as a matrix of pixels with values expressed in a vector-space (commonly 3 dimensional space) whose specificity, compared to grey-scale images, is to ensure a coding and a representation of the output image (visualisation print

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33

Shashev, Dmitriy. "Image Processing in Intelligent Medical Robotic Systems." MATEC Web of Conferences 79 (2016): 01050. http://dx.doi.org/10.1051/matecconf/20167901050.

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Ueda, Satoshi. "Activities for Anonymization in Image Medical Systems." Japanese Journal of Radiological Technology 75, no. 9 (2019): 1109–11. http://dx.doi.org/10.6009/jjrt.2019_jsrt_75.9.1109.

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35

Jawed, Abeer, Anjani Atigadda, Rahimat Adebayo, Lara Jayatilaka, and Solomon Wong. "Medical Record System Redesign to Enhance Efficiency and Safety in Psychiatric Inpatient Care." BJPsych Open 11, S1 (2025): S138. https://doi.org/10.1192/bjo.2025.10380.

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Aims: Efficient medical record systems are vital for improving workflow, ensuring data accuracy, and maintaining staff satisfaction. At Eastlake and Ferneley psychiatric wards, the medical record system, ‘SystmOne’ proved to be inefficient and fragmented, with essential functions scattered across interfaces. This led to excessive administrative burden, detracted from patient care, and frustrated staff. A pre-implementation survey revealed issues such as excessive time spent on documentation and difficulties locating multidisciplinary input, underscoring the need for systemic change. The aim of

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36

Bohdal, Tadeusz, Małgorzata Sikora, and Karolina Formela. "Thermal and Visualisation Study of the HFE7100 Refrigerant Condensation Process." Acta Mechanica et Automatica 18, no. 1 (2024): 60–67. http://dx.doi.org/10.2478/ama-2024-0008.

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Abstract Technological advances are contributing to the search for highly efficient energy designs, and increasing interest in compact heat exchangers. Indeed, small channel diameters determine large heat transfer coefficients and condition a significant heat transfer area about the overall volume of the heat exchanger, as well as a smaller amount of refrigerant flowing in the system. Nevertheless, the operating stability and energy efficiency of compact heat exchangers are influenced by two-phase flow structures, which depend on thermal flow parameters. Knowledge of the structures formed duri

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Arpit Mohankar, Aishwarya Nagpure, Sania Shaikh, Khushi Singh, and Firdous Jahan Shaikh. "Medical Image Segmentation." International Research Journal on Advanced Engineering Hub (IRJAEH) 2, no. 11 (2024): 2569–74. http://dx.doi.org/10.47392/irjaeh.2024.0353.

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Medical image segmentation is a critical component in the development of computer-aided diagnosis and treatment planning systems. This paper provides a comprehensive survey of recent advances in segmentation techniques applied to various imaging modalities, including Magnetic Resonance Imaging (MRI). Traditional methods such as thresholding, region-growing, and active contours are reviewed alongside contemporary machine learning-based approaches, particularly deep learning models. The survey emphasizes the growing dominance of convolutional neural networks (CNNs) and their variants, including

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CHENG, H., and P. WANG. "Medical image processing." Information Sciences 175, no. 3 (2005): 139–40. http://dx.doi.org/10.1016/j.ins.2005.01.005.

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League, Diane. "Interactive, Image-Guided, Stereotactic Neurosurgery Systems." AORN Journal 61, no. 2 (1995): 360–70. http://dx.doi.org/10.1016/s0001-2092(06)63888-x.

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40

Panese, Francesco. "Décrire et convaincre: rhétoriques visuelles de la cinématographie en médecine." Gesnerus 66, no. 1 (2009): 40–66. http://dx.doi.org/10.1163/22977953-06601004.

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The tools of visualisation occupy a central place in medicine. Far from being simple accessories of glance, they literally constitute objects of medicine. Such empirical acknowledgement and epistemological position open a vast field of investigation: visual technologies of medical knowledge. This article studies the development and transformation of medical objects which have permitted to assess the role of temporality in the epistemology of medicine. It firstly examines the general problem of the relationships between cinema, animated image and medicine and secondly, the contribution of the G

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Ehrhardt, J., and H. Handels. "Medical Image Computing for Computer-supported Diagnostics and Therapy." Methods of Information in Medicine 48, no. 01 (2009): 11–17. http://dx.doi.org/10.3414/me9131.

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Summary Objectives: Medical image computing has become one of the most challenging fields in medical informatics. In image-based diagnostics of the future software assistance will become more and more important, and image analysis systems integrating advanced image computing methods are needed to extract quantitative image parameters to characterize the state and changes of image structures of interest (e.g. tumors, organs, vessels, bones etc.) in a reproducible and objective way. Furthermore, in the field of software-assisted and navigated surgery medical image computing methods play a key ro

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Mukherjee, Sudhanshu. "Predicting Malignant Cancer Using Machine Learning." International Journal for Research in Applied Science and Engineering Technology 9, no. 11 (2021): 1668–72. http://dx.doi.org/10.22214/ijraset.2021.39078.

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Abstract: One of the primary concerns that is also a demanding issue within the realm of medical specialism is the detection and removal of tumours. Because visualisation approaches had the drawback of being adversarial, doctors relied heavily on MRI images to provide a superior result. Pre-processing, tumour segmentation, and tumour operations are the three stages in which tumour image processing takes place. Following the acquisition of the source image, the original image is converted to grayscale. Additionally, a noise removal filter and a median filter for quality development are provided

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Hicks, Steven, Debesh Jha, Vajira Thambawita, et al. "MedAI: Transparency in Medical Image Segmentation." Nordic Machine Intelligence 1, no. 1 (2021): 1–4. http://dx.doi.org/10.5617/nmi.9140.

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MedAI: Transparency in Medical Image Segmentation is a challenge held for the first time at the Nordic AI Meet that focuses on medical image segmentation and transparency in machine learning (ML)-based systems. We propose three tasks to meet specific gastrointestinal image segmentation challenges collected from experts within the field, including two separate segmentation scenarios and one scenario on transparent ML systems. The latter emphasizes the need for explainable and interpretable ML algorithms. We provide a development dataset for the participants to train their ML models, tested on a

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Dai, Yin, Huanzhen Wang, Zixia Zhou, and Ziyi Jin. "Research on medical image encryption in telemedicine systems." Technology and Health Care 24, s2 (2016): S435—S442. http://dx.doi.org/10.3233/thc-161166.

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Wilhelm, Paul S. "Lossy image compression for digital medical imaging systems." Optical Engineering 30, no. 10 (1991): 1479. http://dx.doi.org/10.1117/12.55970.

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Rabbani, Majid, and Paul W. Jones. "Image compression techniques for medical diagnostic imaging systems." Journal of Digital Imaging 4, no. 2 (1991): 65–78. http://dx.doi.org/10.1007/bf03170414.

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Ogiela, Lidia, Marek R. Ogiela, and Ryszard Tadeusiewicz. "Mathematical Linguistics in Cognitive Medical Image Interpretation Systems." Journal of Mathematical Imaging and Vision 34, no. 3 (2009): 328–40. http://dx.doi.org/10.1007/s10851-009-0151-4.

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James, Alex Pappachen, Sheshadri Thiruvenkadam, Joseph Suresh Paul, and Michael Braun. "Special issue on medical image computing and systems." Information Fusion 19 (September 2014): 2–3. http://dx.doi.org/10.1016/j.inffus.2013.12.005.

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Y Padma. "Advancements in Non-Linear Content-Based Image Retrieval (CBIR) Systems for Image Analysis." Communications on Applied Nonlinear Analysis 31, no. 2s (2024): 253–65. http://dx.doi.org/10.52783/cana.v31.639.

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Abstract:

Content-Based Image Retrieval (CBIR) systems have witnessed significant advancements in recent years, particularly in the domain of medical image analysis. This paper provides an introductory overview of these advancements in CBIR systems tailored for medical image analysis. The evolution of CBIR techniques and their applications in the medical field are discussed, highlighting their importance in tasks such as diagnosis, treatment planning, and research. Various modalities of medical imaging, including X-rays, CT scans, MRI, and PET, are addressed in the context of CBIR systems. Lung cancer i

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Al-Fayoumi, Mustafa A., Ammar Odeh, Ismail Keshta, and Ashraf Ahmad. "Techniques of medical image encryption taxonomy." Bulletin of Electrical Engineering and Informatics 11, no. 4 (2022): 1990–97. http://dx.doi.org/10.11591/eei.v11i4.3850.

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Abstract:

Medical images are one of the most significant and sensitive data types in computer systems. Sending medical images over the internet necessitates using a robust encryption scheme that is resistant to cryptographic attacks. Confidentiality is the most critical part of the three security objectives for information systems security, namely confidentiality, integrity, and availability. Confidentiality is the most critical aspect for the secure storage and transfer of medical images. In this study, we attempt to classify various encryption methods in order to assist researchers in selecting the op

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