المؤلفون: Géraud M. Azehoun-Pazou, Kokou M. Assogba, Hugues Adegbidi, Antoine C. Vianou

المصدر: Healthcare Technology Letters (2020)

مصطلحات موضوعية: medical image processing, biomedical optical imaging, image colour analysis, feature extraction, skin, multilayer perceptrons, neural nets, image texture, image segmentation, pattern clustering, fuzzy set theory, image classification, sequential network construction algorithm-based method, selected regions, colour transformation, lesion region, created colour information, named neural network-based fuzzy clustering, black skin lesion images, red colour channels, blue colour channels, 600 images, obtained results, black skin stratum corneum, digital macroscopic images analysis, black skin medical images, global initiative, black skin horny layer, digital images analysis, four-step approach, probable healthy skin regions, automatic classification system, multilayer perceptron artificial neural networks, texture, colour features, features selection, Medical technology, R855-855.5

وصف الملف: electronic resource

Relation: https://digital-library.theiet.org/content/journals/10.1049/htl.2020.0057; https://doaj.org/toc/2053-3713

URL الوصول: https://doaj.org/article/b6fd401e42ff4f3cbdebb253d63139d8

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المؤلفون: María E. Hidalgo, Mirta Armendariz, Jorge R. Wagner, Patricia H. Risso

المصدر: Gels, Vol 2, Iss 3, p 23 (2016)

مصطلحات موضوعية: protein-polysaccharide interactions, thermodynamic compatibility, experimental design, digital images analysis, Science, Chemistry, QD1-999, Inorganic chemistry, QD146-197, General. Including alchemy, QD1-65

وصف الملف: electronic resource

Relation: http://www.mdpi.com/2310-2861/2/3/23; https://doaj.org/toc/2310-2861

URL الوصول: https://doaj.org/article/4a570ae962f846d797f8718e8f889fb7

المؤلفون: Antoine Vianou, Géraud M. Azehoun-Pazou, Hugues Adegbidi, Kokou M. Assogba

المصدر: Healthcare Technology Letters (2020)
Healthcare Technology Letters

مصطلحات موضوعية: sequential network construction algorithm-based method, 600 images, Computer science, 02 engineering and technology, biomedical optical imaging, medical image processing, automatic classification system, features selection, named neural network-based fuzzy clustering, red colour channels, 030218 nuclear medicine & medical imaging, Digital image, 0302 clinical medicine, Health Information Management, Image texture, image colour analysis, selected regions, black skin horny layer, image texture, image segmentation, colour features, Contextual image classification, feature extraction, neural nets, lcsh:R855-855.5, multilayer perceptrons, Multilayer perceptron, multilayer perceptron artificial neural networks, digital macroscopic images analysis, digital images analysis, skin, Fuzzy clustering, lcsh:Medical technology, obtained results, black skin medical images, 0206 medical engineering, pattern clustering, Health Informatics, lesion region, Article, 03 medical and health sciences, four-step approach, fuzzy set theory, Cluster analysis, Pixel, black skin lesion images, business.industry, Pattern recognition, Image segmentation, 020601 biomedical engineering, black skin stratum corneum, colour transformation, created colour information, global initiative, probable healthy skin regions, Artificial intelligence, blue colour channels, business, texture, image classification

URL الوصول: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::a252a0d332c5e3667a430203ba234fc0
https://digital-library.theiet.org/content/journals/10.1049/htl.2020.0057

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المؤلفون: Azehoun-Pazou GM; National University of Sciences, Technologies, Engineering and Mathematics (UNSTIM), BP 2282 Abomey, Benin.; Laboratory of Electrical Engineering, Telecommunications and Applied Informatics (LETIA), University of Abomey-Calavi, 01 BP 2009, Abomey-Calavi, Benin., Assogba KM; Laboratory of Electrical Engineering, Telecommunications and Applied Informatics (LETIA), University of Abomey-Calavi, 01 BP 2009, Abomey-Calavi, Benin., Adegbidi H; Department of Dermatology and Venerology, Faculty of Health Sciences, University of Abomey-Calavi, 01 BP 188, Abomey-Calavi, Benin., Vianou AC; Laboratory of Electrical Engineering, Telecommunications and Applied Informatics (LETIA), University of Abomey-Calavi, 01 BP 2009, Abomey-Calavi, Benin.; Laboratory of Thermophysical Characterization and Energetic Appropriation (Lab-CTMAE), Polytechnic School of Abomey-Calavi, 01 BP 2009, Abomey-Calavi, Benin.

المصدر: Healthcare technology letters [Healthc Technol Lett] 2020 Dec 15; Vol. 7 (6), pp. 161-167. Date of Electronic Publication: 2020 Dec 15 (Print Publication: 2020).

نوع المنشور: Journal Article

بيانات الدورية: Publisher: Wiley Country of Publication: England NLM ID: 101646459 Publication Model: eCollection Cited Medium: Print ISSN: 2053-3713 (Print) Linking ISSN: 20533713 NLM ISO Abbreviation: Healthc Technol Lett Subsets: PubMed not MEDLINE