المؤلفون: Zhanlin Ji, Xuan Wang, Chunling Liu, Zhiwu Wang, Na Yuan, Ivan Ganchev

المصدر: IEEE Access, Vol 12, Pp 143029-143041 (2024)

مصطلحات موضوعية: Skin cancer, lesion classification, ConvNeXt, EFAM-Net, ISIC 2019, HAM10000, Electrical engineering. Electronics. Nuclear engineering, TK1-9971

وصف الملف: electronic resource

Relation: https://ieeexplore.ieee.org/document/10695064/; https://doaj.org/toc/2169-3536

URL الوصول: https://doaj.org/article/58be92bcb7de46f097b5d1ff5c3a52ec

المؤلفون: Shulong Zhi, Zhenwei Li, Xiaoli Yang, Kai Sun, Jiawen Wang

المصدر: Applied Sciences, Vol 14, Iss 22, p 10197 (2024)

مصطلحات موضوعية: dermatologic image classification, data enhancement, hair removal, focal loss function, Inception-v2, ISIC 2019 dataset, Technology, Engineering (General). Civil engineering (General), TA1-2040, Biology (General), QH301-705.5, Physics, QC1-999, Chemistry, QD1-999

وصف الملف: electronic resource

Relation: https://www.mdpi.com/2076-3417/14/22/10197; https://doaj.org/toc/2076-3417

URL الوصول: https://doaj.org/article/8f2740288f634ba1a71b91aa734c26c5

المؤلفون: Ziyi Li, Zhengquan Chen, Xuanxuan Che, Yaguang Wu, Dong Huang, Hongyang Ma, Yumin Dong

المصدر: Frontiers in Physics, Vol 10 (2022)

مصطلحات موضوعية: melanoma, deep learning, CNN, quantum computing, skin cancer, ISIC 2019, Physics, QC1-999

وصف الملف: electronic resource

Relation: https://www.frontiersin.org/articles/10.3389/fphy.2022.1046314/full; https://doaj.org/toc/2296-424X

URL الوصول: https://doaj.org/article/1e4d313c5293408483d2d5736d0aea44

المؤلفون: Bayram, Buket, Kulavuz, Bahadır, Ertuğrul, Berkay, Bayram, Bülent, Bakırman, Tolga, Çakar, Tuna, Doğan, Metehan

المساهمون: Çakar, Tuna

مصطلحات موضوعية: Deep Learning, Image classification, ISIC 2019, ResNet50, VGG16

وصف الملف: application/pdf

Relation: Baltic Journal of Modern Computing; Makale - Uluslararası Hakemli Dergi - Kurum Öğretim Elemanı; Bayram, B., Kulavuz, B., Ertugrul, B., Bayram, B., Bakirman, T., Cakar, T., & Doğan, M. (2022). Classification of Skin Lesion Images with Deep Learning Approaches. Baltic Journal of Modern Computing, 10(2), pp. 241-250. https://doi.org/10.22364/bjmc.2022.10.2.10; https://doi.org/10.22364/bjmc.2022.10.2.10; https://hdl.handle.net/20.500.11779/1804; 10; 241; 250; N/A; Q3

الاتاحة: https://hdl.handle.net/20.500.11779/1804
https://doi.org/10.22364/bjmc.2022.10.2.10

المؤلفون: Mohamed A. Kassem, Khalid M. Hosny, Mohamed M. Fouad

المصدر: IEEE Access, Vol 8, Pp 114822-114832 (2020)

مصطلحات موضوعية: Melanoma classification, skin lesions, convolution neural network, GoogleNet, ISIC 2019, bootstrap multiclass SVM, Electrical engineering. Electronics. Nuclear engineering, TK1-9971

وصف الملف: electronic resource

Relation: https://ieeexplore.ieee.org/document/9121248/; https://doaj.org/toc/2169-3536

URL الوصول: https://doaj.org/article/60cea5bb069d43f199aa3070366f5682

المؤلفون: Huix Pérez, Antonio

المساهمون: Escalona, Félix, González, Germán, Universidad de Alicante. Departamento de Ciencia de la Computación e Inteligencia Artificial

مصطلحات موضوعية: Clasificación de imágenes, Lesiones cutáneas, Aprendizaje profundo, ISIC 2019

Relation: http://hdl.handle.net/10045/144221; 2023-24-33640-C210-C3-363905

الاتاحة: http://hdl.handle.net/10045/144221

المؤلفون: Buket Bayram, Bahadır Kulavuz, Berkay Ertuğrul, Bulent Bayram, Tolga Bakirman, Tuna Çakar, Metehan Doğan

المساهمون: Çakar, Tuna

مصطلحات موضوعية: Deep Learning, General Computer Science, Image classification, ISIC 2019, VGG16, ResNet50

وصف الملف: application/pdf

URL الوصول: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::4bf902703734e6b946f923da96c4e670
https://hdl.handle.net/20.500.11779/1804

المؤلفون: Khalid M. Hosny, Mohamed A. Kassem, Mohamed M. Fouad

المصدر: IEEE Access, Vol 8, Pp 114822-114832 (2020)

مصطلحات موضوعية: General Computer Science, Keratosis, skin lesions, 02 engineering and technology, transfer learning, Convolutional neural network, Dermatofibroma, 030218 nuclear medicine & medical imaging, convolution neural network, 03 medical and health sciences, 0302 clinical medicine, 0202 electrical engineering, electronic engineering, information engineering, medicine, General Materials Science, Basal cell carcinoma, Electrical and Electronic Engineering, business.industry, Melanoma, Actinic keratosis, General Engineering, Melanoma classification, Pattern recognition, Melanocytic nevus, medicine.disease, GoogleNet, ISIC 2019, 020201 artificial intelligence & image processing, Artificial intelligence, lcsh:Electrical engineering. Electronics. Nuclear engineering, Skin cancer, business, lcsh:TK1-9971, bootstrap multiclass SVM

URL الوصول: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::e17a93886c3cb7d9f6b1d650b804fd19
https://ieeexplore.ieee.org/document/9121248/

المؤلفون: Escalona, Félix, González, Germán, Universidad de Alicante. Departamento de Ciencia de la Computación e Inteligencia Artificial, Huix Pérez, Antonio

مصطلحات الفهرس: Clasificación de imágenes, Lesiones cutáneas, Aprendizaje profundo, ISIC 2019, info:eu-repo/semantics/bachelorThesis

URL: http://hdl.handle.net/10045/144221