المؤلفون: Ibrahem Kandel, Mauro Castelli, Luca Manzoni

المصدر: Emerging Science Journal, Vol 6, Iss 4, Pp 881-892 (2022)

مصطلحات موضوعية: image classification, deep learning, medical images, augmentation techniques, supervised learning., Technology (General), T1-995, Social sciences (General), H1-99

وصف الملف: electronic resource

Relation: https://www.ijournalse.org/index.php/ESJ/article/view/930; https://doaj.org/toc/2610-9182

URL الوصول: https://doaj.org/article/efbd47471ec547719f9ac2d89e5d78b6

المؤلفون: Ibrahem Kandel, Mauro Castelli

المصدر: ICT Express, Vol 6, Iss 4, Pp 312-315 (2020)

مصطلحات موضوعية: Convolutional neural networks, Deep learning, Image classification, Medical images, Batch size, Information technology, T58.5-58.64

وصف الملف: electronic resource

Relation: http://www.sciencedirect.com/science/article/pii/S2405959519303455; https://doaj.org/toc/2405-9595

URL الوصول: https://doaj.org/article/63e2e82fd5a54df790389e1b73a23ece

المؤلفون: Ibrahem Kandel, Mauro Castelli, Aleš Popovič

المصدر: Journal of Imaging, Vol 7, Iss 6, p 100 (2021)

مصطلحات موضوعية: deep learning, image classification, stacking, ensemble learning, convolutional neural networks, transfer learning, Photography, TR1-1050, Computer applications to medicine. Medical informatics, R858-859.7, Electronic computers. Computer science, QA75.5-76.95

وصف الملف: electronic resource

Relation: https://www.mdpi.com/2313-433X/7/6/100; https://doaj.org/toc/2313-433X

URL الوصول: https://doaj.org/article/9b998752be564692905116f1b89bfedb

المؤلفون: Ibrahem Kandel, Mauro Castelli, Aleš Popovič

المصدر: Journal of Imaging, Vol 6, Iss 11, p 127 (2020)

مصطلحات موضوعية: transfer learning, computer vision, convolutional neural networks, image classification, musculoskeletal images, deep learning, Photography, TR1-1050, Computer applications to medicine. Medical informatics, R858-859.7, Electronic computers. Computer science, QA75.5-76.95

وصف الملف: electronic resource

Relation: https://www.mdpi.com/2313-433X/6/11/127; https://doaj.org/toc/2313-433X

URL الوصول: https://doaj.org/article/0ac5b8a2e83e4547bb26d2187f80e416

المؤلفون: Ibrahem Kandel, Mauro Castelli, Aleš Popovič

المصدر: Journal of Imaging, Vol 6, Iss 9, p 92 (2020)

مصطلحات موضوعية: image classification, convolutional neural networks, deep learning, medical images, transfer learning, optimizers, Photography, TR1-1050, Computer applications to medicine. Medical informatics, R858-859.7, Electronic computers. Computer science, QA75.5-76.95

وصف الملف: electronic resource

Relation: https://www.mdpi.com/2313-433X/6/9/92; https://doaj.org/toc/2313-433X

URL الوصول: https://doaj.org/article/9abf2ada3f6a4bce9b72a53e47f18f31

المؤلفون: Ibrahem Kandel, Mauro Castelli

المصدر: Applied Sciences, Vol 10, Iss 10, p 3359 (2020)

مصطلحات موضوعية: convolutional neural network, image classification, transfer learning, medical images, deep learning, fine-tuning, 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/2076-3417/10/10/3359; https://doaj.org/toc/2076-3417

URL الوصول: https://doaj.org/article/849d0fff95324678b11f51cbef82c6d8

المؤلفون: Ibrahem Kandel, Mauro Castelli

المصدر: Applied Sciences, Vol 10, Iss 8, p 2929 (2020)

مصطلحات موضوعية: histopathology images, deep learning, convolutional neural networks, image classification, 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/2076-3417/10/8/2929; https://doaj.org/toc/2076-3417

URL الوصول: https://doaj.org/article/c3119032f7da404b84cb1ac6da3f94d8

المؤلفون: Ibrahem Kandel, Mauro Castelli

المصدر: Applied Sciences, Vol 10, Iss 6, p 2021 (2020)

مصطلحات موضوعية: diabetic retinopathy, deep learning, convolutional neural networks, transfer learning, 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/2076-3417/10/6/2021; https://doaj.org/toc/2076-3417

URL الوصول: https://doaj.org/article/5fbf55552c3b46eda3233933b24c24cf

المؤلفون: Alfadil A; Faculty of Medicine, Department of Clinical Microbiology and Immunology, King Abdulaziz University, Jeddah, Saudi Arabia.; Center of Research Excellence for Drug Research and Pharmaceutical Industries, King Abdulaziz University, Jeddah, Saudi Arabia., Ibrahem KA; Faculty of Medicine, Department of Clinical Microbiology and Immunology, King Abdulaziz University, Jeddah, Saudi Arabia., Alrabia MW; Faculty of Medicine, Department of Clinical Microbiology and Immunology, King Abdulaziz University, Jeddah, Saudi Arabia., Mokhtar JA; Faculty of Medicine, Department of Clinical Microbiology and Immunology, King Abdulaziz University, Jeddah, Saudi Arabia., Ahmed H; King Abdulaziz Hospital, Jeddah, Saudi Arabia.

المصدر: PloS one [PLoS One] 2024 May 10; Vol. 19 (5), pp. e0303373. Date of Electronic Publication: 2024 May 10 (Print Publication: 2024).

نوع المنشور: Journal Article; Research Support, Non-U.S. Gov't

بيانات الدورية: Publisher: Public Library of Science Country of Publication: United States NLM ID: 101285081 Publication Model: eCollection Cited Medium: Internet ISSN: 1932-6203 (Electronic) Linking ISSN: 19326203 NLM ISO Abbreviation: PLoS One Subsets: MEDLINE

مواضيع طبية MeSH: Antifungal Agents*/pharmacology , Antifungal Agents*/chemistry , Quinoxalines*/pharmacology , Quinoxalines*/chemistry , Candida*/drug effects , Microbial Sensitivity Tests*, Animals ; Mice ; Disease Models, Animal ; Candidiasis/drug therapy ; Candidiasis/microbiology ; Female