Academic literature on the topic 'Skin features'
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Journal articles on the topic "Skin features"
Morinet, F. "TLR3 and skin features." Current Research in Translational Medicine 64, no. 4 (October 2016): 167. http://dx.doi.org/10.1016/j.retram.2016.11.001.
Full textB. Hassan, Manchu, and Nimmy Venu. "A Study on Histopathological Features of Granulomatous Lesions of Skin." Indian Journal of Pathology: Research and Practice 5, no. 3 (2016): 393–96. http://dx.doi.org/10.21088/ijprp.2278.148x.5316.26.
Full textEzekwe, Nneamaka, Thy Huynh, and Robert Brodell. "Distinguishing Features: Linear Rashing is Not Always Koebnerization." SKIN The Journal of Cutaneous Medicine 5, no. 1 (January 1, 2021): 71–74. http://dx.doi.org/10.25251/skin.5.1.17.
Full textEzekwe, Nneamaka, Thy Huynh, and Robert Brodell. "Distinguishing Features: Linear Rashing is Not Always Koebnerization." SKIN The Journal of Cutaneous Medicine 5, no. 1 (January 1, 2021): 71–74. http://dx.doi.org/10.25251/skin.5.1.17.
Full textRuiz-Carrascosa, José Carlos, and Ricardo Ruiz-Villaverde. "Sonographic features of normal skin." ACTUALIDAD MEDICA 99, no. 793-Suplemento I (November 24, 2014): 9–12. http://dx.doi.org/10.15568/am.2014.793.sp01.re02.
Full textLEYDEN, J. J. "Clinical features of ageing skin." British Journal of Dermatology 122, s35 (April 1990): 1–3. http://dx.doi.org/10.1111/j.1365-2133.1990.tb16118.x.
Full textKawulok, Michal, Jolanta Kawulok, and Jakub Nalepa. "Spatial-based skin detection using discriminative skin-presence features." Pattern Recognition Letters 41 (May 2014): 3–13. http://dx.doi.org/10.1016/j.patrec.2013.08.028.
Full textBadon, Hannah Roberts, Joy King, Robert T. Brodell, and Adam Byrd. "Distinguishing Features: Staphylococcal Scalded Skin Syndrome vs Toxic Epidermal Necrolysis." SKIN The Journal of Cutaneous Medicine 2, no. 2 (March 9, 2018): 135–39. http://dx.doi.org/10.25251/skin.2.2.7.
Full textSinaga, Anita Sindar. "Texture Features Extraction of Human Leather Ports Based on Histogram." Indonesian Journal of Artificial Intelligence and Data Mining 1, no. 2 (November 15, 2018): 92. http://dx.doi.org/10.24014/ijaidm.v1i2.6084.
Full textJun, Jae-Hyun, Min-Suk Jung, Yong-Suk Jang, Cheol-Woong Ahn, and Sung-Ho Kim. "Harmful Image Detection Method Using Skin and Non-Skin Features." Journal of The Institute of Internet, Broadcasting and Communication 15, no. 4 (August 31, 2015): 55–61. http://dx.doi.org/10.7236/jiibc.2015.15.4.55.
Full textDissertations / Theses on the topic "Skin features"
Al-Qarni, Garsah Farhan. "Skin texture features for face recognition." Thesis, University of Kent, 2013. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.633831.
Full textSun, Shih-Yu. "Ultrasound probe localization by tracking skin features." Thesis, Massachusetts Institute of Technology, 2014. http://hdl.handle.net/1721.1/93069.
Full textCataloged from PDF version of thesis.
Includes bibliographical references (pages 131-141).
Ultrasound probe localization with respect to the human body is essential for freehand three-dimensional ultrasound (3D US), image-guided surgery, and longitudinal studies. Existing methods for probe localization, however, typically involve bulky and expensive equipment, and suffer from patient motion artifacts. This thesis presents a highly cost-effective and miniature-mobile system for ultrasound probe localization in six degrees of freedom that is robust to rigid patient motion. In this system, along with each acquisition of an ultrasound image, skin features in the scan region are recorded by a lightweight camera rigidly mounted to the probe. Through visual simultaneous localization and mapping (visual SLAM), a skin map is built based on skin features and the probe poses are estimated. Each pose estimate is refined in a Bayesian probabilistic framework that incorporates visual SLAM, ultrasound images, and a prior motion model. Extraction of human skin features and their distinctiveness in the context of probe relocalization were extensively evaluated. The system performance for free-hand 3D US was validated on three body parts: lower leg, abdomen, and neck. The motion errors were quantified, and the volume reconstructions were validated through comparison with ultrasound images. The reconstructed tissue structures were shown to be consistent with observations in ultrasound imaging, which suggests the system's potential in improving clinical workflows. In conjunction with this localization system, an intuitive interface was developed to provide real-time visual guidance for ultrasound probe realignment, which allows repeatable image acquisition in localized therapies and longitudinal studies. Through in-vivo experiments, it was shown that this system significantly improves spatial consistency of tissue structures in repeated ultrasound scans.
by Shih-Yu Sun.
Ph. D.
Denda, Mitsuhiro. "Physicochemical features of human skin stratum corneum." Kyoto University, 1994. http://hdl.handle.net/2433/160747.
Full textKyoto University (京都大学)
0048
新制・論文博士
博士(工学)
乙第8661号
論工博第2902号
新制||工||970(附属図書館)
UT51-94-R420
(主査)教授 中西 浩一郎, 教授 森島 績, 教授 砂本 順三
学位規則第4条第2項該当
Isaieva, O. A., and О. Г. Аврунін. "Video dermoscopy study of the skin." Thesis, Liverpool, United Kingdom, 2019. http://openarchive.nure.ua/handle/document/10265.
Full textKundu, Benjamin Ina Annesha. "Imaging platforms for detecting and analyzing skin features and Its stability : with applications in skin health and in using the skin as a body-relative position-encoding system." Thesis, Massachusetts Institute of Technology, 2015. http://hdl.handle.net/1721.1/100114.
Full textCataloged from PDF version of thesis.
Includes bibliographical references (pages 121-124).
Skin imaging is a powerful, noninvasive method used with potential to aid in the diagnosis of various dermatological diseases and assess overall skin health. This thesis discusses imaging platforms that were developed to aid in studying skin features and characteristics at different time and length scales to characterize and monitor skin. Two applications are considered: (1) using natural skin features as a position encoding system and an aid for volume reconstruction of ultrasound imaging and (2) studying natural skin feature evolution or stability over time to aid in assessing skin health. A 5-axis, rigid translational scanning system was developed to capture images at specific locations and to validate skin based body registration algorithms. We show that natural skin features could be used to perform ultrasound based reconstruction accurate to 0.06 mm. A portable, handheld scanning device was designed to study skin characteristics at different time and length scales. With this imaging platform, we analyze skin features at different length scales: [mu]m (for microreliefs), mm (for moles and pores), and cm (for distances between microreliefs and other features). Preliminary algorithms are used to automatically identify microreliefs. Further work in image processing is required to assess skin variation using these images.
by Ina Annesha Kundu.
S.M.
Tarnavska, S. I., and E. V. Vlasova. "Features of skin atopic reactivity in children, suffering from bronchial asthma depending on inflammatory blood hatterns." Thesis, Матеріали науково-практичної конференції [“Актуальні питання діагностики та лікування алергічних і неалергічних захворювань респіраторної системи у дітей» і сателітного симпозіуму «Сучасні технології та інновації викладання педіатрії та пульмонології»], 2017. http://dspace.bsmu.edu.ua:8080/xmlui/handle/123456789/13027.
Full textGriffiths, Mat. "A thesis on the clinical behhaviour, histological features, long term persistence and cytokine profile of a living skin substitute in an acute, deep-dermal, human wound model." Thesis, Queen Mary, University of London, 2010. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.542035.
Full textDent, Randl B. "The Role of Afrocentric Features in Mental Healthcare Utilization and Counselor Preferences in Black College Students." VCU Scholars Compass, 2017. https://scholarscompass.vcu.edu/etd/5112.
Full textОлешко, Олександр Миколайович, Александр Николаевич Олешко, and Oleksandr Mykolaiovych Oleshko. "Анатомо-експериментальне обгрунтування використання хітозанових мембран для пластики механічних дефектів шкіри у віковому аспекті." Thesis, Сумський державний університет, 2017. http://essuir.sumdu.edu.ua/handle/123456789/51786.
Full textДиссертация посвящена изучению особенностей строения участка кожи в процессе регенерации механического дефекта в возрастном аспекте при использовании хитозановых мембран. С помощью современных методов исследования впервые изучены особенности репаративной регенерации кожи в условиях ее механической травмы на основе фаз раневого процесса в возрастном аспекте. Впервые была выявлена достоверная разница между традиционными подходами и применением хитозановых мембран с целью лечения механических ран кожи. Экспериментальные покрытия получили более выраженный терапевтический эффект. Выявлено, что хитозан усиливает макрофагальную реакцию, что свидетельствует об активации функции фагоцитоза, что в свою очередь, приводит к уменьшению микробной контаминации механической раны. Уменьшение площади поверхности дефекта при применении хитозана достоверно выше, чем без использования лекарственных средств. Впервые установлено, что при заживлении ран кожи под влиянием хитозана происходит быстрое формирование грануляционной ткани с хорошо развитым микроциркуляторным руслом, большим количеством и полиморфизмом клеток и волокнистых структур.
Dissertation is devoted to the study of the structural features of skin in the process of regeneration of a mechanical defect in the age aspect after application of chitosan membranes. Features of reparative regeneration of the skin mechanical trauma was studied using modern methods of research based on the phases of wound healing in the age aspect. We found significant difference between traditional approaches and the use of chitosan membranes for the treatment of mechanical skin wound. Experimental wound dressings have shown pronounced therapeutic effect. It revealed that chitosan enhances macrophage response, which indicates by activation of phagocytosis, which in turn, reduces microbial contamination of trauma surface. Reducing the surface area of the defect in the application of chitosan was significantly higher than without the treatment. It was found that the healing of skin wounds under the influence of chitosan leads rapid formation of granulation tissue with well-developed vessels, and a large number of polymorphic cells and fibrous structures. The use of chitosan membranes leads to a significant increase in the area of granulation tissue at the 3rd day of observation in animals of all ages (maximum rate in young animals – 13.21 ± 0.46% (p = 0.0023)). The amount of granulation tissue decreased from the 7th day, indicating the formation of connective tissue regenerate. Total area of the defect was significantly lower compared to the control only in young animals – 0.35 ± 0.05 cm2 (p = 0.0183). Cell compound of the wounds characterized by decreasing in the number of neutrophils and lymphocytes in all periods of observation and the percentage of macrophages and fibroblasts from the 3rd and 7th days, respectively. Maximum number of endothelial cells increased on the 7th day and is depending on the age of – from 3.1 ± 0.16% (p = 0.1075) (old age) to 7.2 ± 0.44% (p = 0.0246) (young animals). Morphometric study in case of chitosan application indicate normalization of vascular reactions, accompanied by a decrease in the relative area of stromal edema in animals and young age from the 3rd day, and in old rats – in 7th day of observation. The relative area of the dermis and blood vessels diameter is reduced only to animals of young age – 6.90 ± 0.47% (p = 0.5481) and 17.77 ± 1.25 mm (p = 0.2051), respectively . These histological studies suggest an earlier beginning of the formation of granulation tissue, especially in young animals (from the 3rd day of observation) and optimization of the formation of connective tissue and epithelialization of the wound surface to the 21st day. Application of chitosan membranes leads to reduction of wound surface colonization by opportunistic pathogens in the early stages of reparative processes in animals and young and adult ages. Up to the 21st day of observation on the wound surface observed the presence of staphylococci and streptococci only in an amount from ≤ 40 to ≤ 102 CFU / ml.
Mushfieldt, Diego. "Robust facial expression recognition in the presence of rotation and partial occlusion." Thesis, University of Western Cape, 2014. http://hdl.handle.net/11394/3367.
Full textThis research proposes an approach to recognizing facial expressions in the presence of rotations and partial occlusions of the face. The research is in the context of automatic machine translation of South African Sign Language (SASL) to English. The proposed method is able to accurately recognize frontal facial images at an average accuracy of 75%. It also achieves a high recognition accuracy of 70% for faces rotated to 60◦. It was also shown that the method is able to continue to recognize facial expressions even in the presence of full occlusions of the eyes, mouth and left/right sides of the face. The accuracy was as high as 70% for occlusion of some areas. An additional finding was that both the left and the right sides of the face are required for recognition. As an addition, the foundation was laid for a fully automatic facial expression recognition system that can accurately segment frontal or rotated faces in a video sequence.
Books on the topic "Skin features"
MacKie, Rona M. Skin cancer: An illustrated guide to the aetiology, clinical features, pathology and management of benign and malignant cutaneous tumours. London: M. Dunitz, 1989.
Find full textMacKie, Rona M. Skin cancer: An illustrated guide to the aetiology, clinical features, pathology and management of benign and malignant cutaneous tumors. London: Dunitz, 1989.
Find full textTundaleva, Irina. Sanitation and hygiene of hairdressing services. ru: INFRA-M Academic Publishing LLC., 2020. http://dx.doi.org/10.12737/979063.
Full textKarlheinz, Fuchs. Die Reptilhaut: Ein wichtiger Merkmalsträger bei der Identifizierung von Echsen und Schlangen = The reptile skin : a key-feature in the identification of lizards and snakes. Frankfurt am Main: Edition Chimaira, 2003.
Find full textFreer, Phoebe E. Skin Lesions. Edited by Christoph I. Lee, Constance D. Lehman, and Lawrence W. Bassett. Oxford University Press, 2018. http://dx.doi.org/10.1093/med/9780190270261.003.0050.
Full textFreer, Phoebe E. Skin Calcifications. Edited by Christoph I. Lee, Constance D. Lehman, and Lawrence W. Bassett. Oxford University Press, 2018. http://dx.doi.org/10.1093/med/9780190270261.003.0049.
Full textSkin Cancer: An Illustrated Guide to the Aetiology, Clinical Features, Pathology and Management of Benign and Malignant Cutaneous Tumours. 2nd ed. Taylor & Francis, 1996.
Find full textSybert, Virginia. Genetic Skin Disorders. Oxford University Press, 2012. http://dx.doi.org/10.1093/med/9780195397666.001.0001.
Full textBook chapters on the topic "Skin features"
Tremelloni, Laura. "About skin." In Psychoanalytic Work with Autistic Features in Adults, 26–37. Abingdon, Oxon; New York, NY: Routledge, 2018.: Routledge, 2018. http://dx.doi.org/10.4324/9781351014595-3.
Full textFranco, Renato, Anna Maria Anniciello, Gerardo Botti, Michele Caraglia, and Amalia Luce. "Basal Cell Carcinoma: Molecular and Pathological Features." In Skin Cancer, 75–88. New York, NY: Springer New York, 2013. http://dx.doi.org/10.1007/978-1-4614-7357-2_5.
Full textGrim, Kelli D., and Ted Rosen. "Inflammatory Disorders with Unique Clinical Features." In Skin of Color, 45–90. New York, NY: Springer New York, 2012. http://dx.doi.org/10.1007/978-0-387-84929-4_4.
Full textChansky, Peter B., and Victoria P. Werth. "Clinical Features of Myositis: Skin Manifestations." In Managing Myositis, 47–55. Cham: Springer International Publishing, 2019. http://dx.doi.org/10.1007/978-3-030-15820-0_6.
Full textXu, Feng, and Tianjian Lu. "Physiological Features of Pain Sensation." In Introduction to Skin Biothermomechanics and Thermal Pain, 343–73. Berlin, Heidelberg: Springer Berlin Heidelberg, 2011. http://dx.doi.org/10.1007/978-3-642-13202-5_12.
Full textBrena, Michela, Francesca Besagni, Angela Hernandez-Martin, and Gianluca Tadini. "Clinical Features of NF1 in the Skin." In Multidisciplinary Approach to Neurofibromatosis Type 1, 45–69. Cham: Springer International Publishing, 2020. http://dx.doi.org/10.1007/978-3-319-92450-2_5.
Full textDi Zenzo, Giovanni, Emmanuel Laffitte, Giovanna Zambruno, and Luca Borradori. "Bullous Pemphigoid: Clinical Features, Diagnostic Markers, and Immunopathogenic Mechanisms." In Autoimmune Diseases of the Skin, 65–95. Vienna: Springer Vienna, 2011. http://dx.doi.org/10.1007/978-3-211-99225-8_4.
Full textNgatu, Nlandu Roger. "Paederus Dermatitis: Environmental Risk Factors, Clinical Features, and Management." In Occupational and Environmental Skin Disorders, 151–57. Singapore: Springer Singapore, 2018. http://dx.doi.org/10.1007/978-981-10-8758-5_14.
Full textDesmoulière, A., and G. Gabbiani. "Modulation of Fibroblastic Cytoskeletal Features During Wound Healing and Fibrosis." In Wound Healing and Skin Physiology, 105–12. Berlin, Heidelberg: Springer Berlin Heidelberg, 1995. http://dx.doi.org/10.1007/978-3-642-77882-7_9.
Full textRimoin, Lauren P., Gil Yosipovitch, and Marilynne McKay. "Female-Specific Pruritus from Childhood to Postmenopause: Clinical Features, Hormonal Factors, and Treatment Considerations." In Skin, Mucosa and Menopause, 111–24. Berlin, Heidelberg: Springer Berlin Heidelberg, 2014. http://dx.doi.org/10.1007/978-3-662-44080-3_10.
Full textConference papers on the topic "Skin features"
Kawahara, Jeremy, Aicha BenTaieb, and Ghassan Hamarneh. "Deep features to classify skin lesions." In 2016 IEEE 13th International Symposium on Biomedical Imaging (ISBI 2016). IEEE, 2016. http://dx.doi.org/10.1109/isbi.2016.7493528.
Full textGartstein, Vladimir, and Steven A. Shaya. "Image Analysis Of Facial Skin Features." In Application of Optical Instrumentation in Medicine XIV and Picture Archiving and Communication Systems (PACS IV) for Medical Applications, edited by Samuel J. Dwyer III and Roger H. Schneider. SPIE, 1986. http://dx.doi.org/10.1117/12.975404.
Full textLi, Chao, Yannick Benezeth, Keisuke Nakamura, Randy Gomez, and Fan Yang. "Evaluation of skin spectral features for biometrie." In 2017 IEEE 2nd International Conference on Signal and Image Processing (ICSIP). IEEE, 2017. http://dx.doi.org/10.1109/siprocess.2017.8124543.
Full textBrar, Khushmeen Kaur, Ashima Kalra, and Piyush Samant. "Automated textural features based skin disease diagnosis system." In 2019 5th International Conference on Signal Processing, Computing and Control (ISPCC). IEEE, 2019. http://dx.doi.org/10.1109/ispcc48220.2019.8988311.
Full textLiao, Wen-Hung, and Yu-Hao Chi. "Estimation of Skin Color Range Using Achromatic Features." In 2008 Eighth International Conference on Intelligent Systems Design and Applications (ISDA). IEEE, 2008. http://dx.doi.org/10.1109/isda.2008.208.
Full textPereira, Pedro M. M., Lucas A. Thomaz, Luis M. N. Tavora, Pedro A. A. Assuncao, Rui Fonseca-Pinto, Rui Pedro Paiva, and Sergio M. M. Faria. "Skin Lesion Classification using Bag-of-3D-Features." In 2021 Telecoms Conference (ConfTELE). IEEE, 2021. http://dx.doi.org/10.1109/conftele50222.2021.9435509.
Full textKorivi, Naga S., and Pratul K. Ajmera. "Percutaneous Access Device With Stress Relief Features." In ASME 2010 5th Frontiers in Biomedical Devices Conference. American Society of Mechanical Engineers, 2010. http://dx.doi.org/10.1115/biomed2010-32022.
Full textCsabai, D., K. Szalai, and M. Gyongy. "Automated classification of common skin lesions using bioinspired features." In 2016 IEEE International Ultrasonics Symposium (IUS). IEEE, 2016. http://dx.doi.org/10.1109/ultsym.2016.7728752.
Full textGALASSO, BERNARDINO, MONICA CIMINELLO, FRANCESCA MARIA PISANO, and ANTONIO CONCILIO. "Statistical Based Features Vector for Skin-stringer Debonding Detection." In Structural Health Monitoring 2017. Lancaster, PA: DEStech Publications, Inc., 2017. http://dx.doi.org/10.12783/shm2017/13896.
Full textZhang, Gang, Xiangyang Shu, Zhaohui Liang, Yunting Liang, Shuyi Chen, and Jian Yin. "Multi-instance learning for skin biopsy image features recognition." In 2012 IEEE International Conference on Bioinformatics and Biomedicine (BIBM). IEEE, 2012. http://dx.doi.org/10.1109/bibm.2012.6392648.
Full textReports on the topic "Skin features"
Ridgway, S., and D. Carder. Features of Dolphin Skin with Potential Hydrodynamic Importance. Fort Belvoir, VA: Defense Technical Information Center, September 1993. http://dx.doi.org/10.21236/ada274066.
Full textLee, Bomi, and Michelle L. Childs. Ideal Beauty Standards: A Preliminary Analysis of Ethnicity and Skin Tone Features. Ames (Iowa): Iowa State University. Library, January 2019. http://dx.doi.org/10.31274/itaa.8298.
Full textMiao, Tiejun, and Osamu Shimoyama. Decreases in Fractal Features of Facial Skin Thermogram Due to a Startle. Warrendale, PA: SAE International, May 2005. http://dx.doi.org/10.4271/2005-08-0306.
Full textVarastehpour, Soheil, Hamid Sharifzadeh, Iman Ardekani, and Abdolhossein Sarrafzadeh. Human Biometric Traits: A Systematic Review Focusing on Vascular Patterns. Unitec ePress, December 2020. http://dx.doi.org/10.34074/ocds.086.
Full textCook, Joshua, Laura Ray, and James Lever. Dynamics modeling and robotic-assist, leader-follower control of tractor convoys. Engineer Research and Development Center (U.S.), February 2022. http://dx.doi.org/10.21079/11681/43202.
Full text