المؤلفون: Wafa, Mousser, Salima, Ouadfel, Abdelmalik, Taleb-Ahmed, Ilham, Kitouni

المساهمون: Université de Constantine 2 Abdelhamid Mehri [Constantine], Institut d’Électronique, de Microélectronique et de Nanotechnologie - UMR 8520 (IEMN), Centrale Lille-Université de Lille-Centre National de la Recherche Scientifique (CNRS)-Université Polytechnique Hauts-de-France (UPHF)-JUNIA (JUNIA), Université catholique de Lille (UCL)-Université catholique de Lille (UCL), COMmunications NUMériques - IEMN (COMNUM - IEMN), INSA Institut National des Sciences Appliquées Hauts-de-France (INSA Hauts-De-France), Institut National des Sciences Appliquées (INSA)-Institut National des Sciences Appliquées (INSA)-Institut d’Électronique, de Microélectronique et de Nanotechnologie - UMR 8520 (IEMN), Université catholique de Lille (UCL)-Université catholique de Lille (UCL)-Centrale Lille-Université de Lille-Centre National de la Recherche Scientifique (CNRS)-Université Polytechnique Hauts-de-France (UPHF)-JUNIA (JUNIA), Université Polytechnique Hauts-de-France (UPHF), We are grateful to the Algerian Ministry of Higher Education and Scientific Research (MESRS) and the Algerian General Directorate of Scientific Research and Technological Development (DGRSDT) for the financial support. This work was granted access to the HPC resources of UCI-UFMC (Unité de Calcul intensif of the University FRERES MENTOURI CONSTANTINE1).

المصدر: Artificial Intelligence in Medicine
Artificial Intelligence in Medicine, 2022, 134, pp.102392. ⟨10.1016/j.artmed.2022.102392⟩

مصطلحات موضوعية: [SPI]Engineering Sciences [physics], Breast cancer, Artificial Intelligence, Cervical cancer, Humans, Learning, Medicine (miscellaneous), Female, Catastrophic forgetting, Convolutional neural networks, Neural Networks, Computer, Biological image classification, Incremental learning

URL الوصول: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::13fc88c9e2f1f054a51f9df67c7f9d39
https://doi.org/10.1016/j.artmed.2022.102392

المؤلفون: Wafa Mousser, Salima Ouadfel, Abdelmalik Taleb-Ahmed

URL الوصول: https://explore.openaire.eu/search/publication?articleId=doi_________::90c5bc58765e08c7fce75852b065e106
https://doi.org/10.1016/b978-0-12-820793-2.00001-x

المؤلفون: Salima Ouadfel, Wafa Mousser, Ismail Ghoul, Abdelmalik Taleb-Ahmed

URL الوصول: https://explore.openaire.eu/search/publication?articleId=doi_________::d2624dc270bfbd0f92c0dc549a74ddd0
https://doi.org/10.1016/b978-0-12-820793-2.00011-2

المؤلفون: Hayfa Y. Abuaddous, Laith Abualigah, S. Agostinelli, W. Ajbar, Mohammed A.A. Al-qaness, Mohammad Alshinwan, Leticia Chico-Santamarta, Adriana Correa-Guimaraes, Francisco J. Diez, Youness El Mghouchi, Mohamed Elasyed Abd Elaziz, Ammar H. Elsheikh, Fadl A. Essa, Ismail Ghoul, J.A. Hernández, A. Heydari, Rehab Ali Ibrahim, Ahmad M. Khasawneh, Wenjia Li, Andrés Martínez-Rodríguez, Wafa Mousser, Luis M. Navas-Gracia, Mahmoud Omari, Mohammed Otair, Salima Ouadfel, A. Parrales, E.D. Reyes-Téllez, S. Sadek, Mohd Khaled Yousef Shambour, S. Shanmugan, Mohammad Shehab, Abdelmalik Taleb-Ahmed, Somaya Zacout, Mohamed E. Zayed, Jun Zhao

URL الوصول: https://explore.openaire.eu/search/publication?articleId=doi_________::c8e2bd18e01889406c5014e5466fe8b9
https://doi.org/10.1016/b978-0-12-820793-2.00016-1

المؤلفون: Wafa Mousser, Salima Ouadfel

المصدر: Proceedings of the 2019 5th International Conference on Computer and Technology Applications.

مصطلحات موضوعية: Contextual image classification, business.industry, Computer science, Deep learning, Feature extraction, Medical imaging, Deep neural networks, Pattern recognition, Artificial intelligence, business, Classifier (UML)

URL الوصول: https://explore.openaire.eu/search/publication?articleId=doi_________::1752d541369b837dd7abc8951f5a5622
https://doi.org/10.1145/3323933.3324060