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Hasnae Zerouaoui
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2020 – today
- 2024
- [j5]Hasnae Zerouaoui, Omar El Alaoui
, Ali Idri:
New design strategies of deep heterogenous convolutional neural networks ensembles for breast cancer diagnosis. Multim. Tools Appl. 83(24): 65189-65220 (2024) - [c14]Hasnae Zerouaoui, Gbenga Peter Oderinde, Rida Lefdali, Karima Echihabi, Stephen Peter Akpulu, Nosereme Abel Agbon, Abraham Sunday Musa, Yousef Yeganeh, Azade Farshad, Nassir Navab:
AMONuSeg: A Histological Dataset for African Multi-organ Nuclei Semantic Segmentation. MICCAI (9) 2024: 96-106 - 2023
- [j4]Hasnae Zerouaoui
A new approach for histological classification of breast cancer using deep hybrid heterogenous ensemble. Data Technol. Appl. 57(2): 245-278 (2023) - [j3]Fatima Zahrae Nakach
Binary classification of multi-magnification histopathological breast cancer images using late fusion and transfer learning. Data Technol. Appl. 57(5): 668-695 (2023) - [c13]Ferdaous Idlahcen, Ali Idri, Hasnae Zerouaoui:
Integrating Autoencoder-Based Hybrid Models into Cervical Carcinoma Prediction from Liquid-Based Cytology. DATA 2023: 343-350 - [c12]Fatima Zahrae Nakach, Ali Idri, Hasnae Zerouaoui:
Deep Hybrid Bagging Ensembles for Classifying Histopathological Breast Cancer Images. ICAART (2) 2023: 289-300 - [c11]Asma Zizaan
Applied Deep Learning Architectures for Breast Cancer Screening Classification. ICAART (3) 2023: 617-624 - 2022
- [j2]Hasnae Zerouaoui, Ali Idri
Deep hybrid architectures for binary classification of medical breast cancer images. Biomed. Signal Process. Control. 71(Part): 103226 (2022) - [c10]Hasnae Zerouaoui, Ali Idri, Omar El Alaoui
Histological breast cancer classification using CNN and MLP based ensembles. AICCSA 2022: 1-6 - [c9]Hasnae Zerouaoui, Ali Idri:
Classifying Breast Cytological Images using Deep Learning Architectures. HEALTHINF 2022: 557-564 - [c8]Hasnae Zerouaoui
Comparative Assessment of Deep End-To-End, Deep Hybrid and Deep Ensemble Learning Architectures for Breast Cancer Histological Classification. IC3K 2022: 107-124 - [c7]Hasnae Zerouaoui, Ali Idri, Omar El Alaoui
Assessing the Impact of Deep End-to-End Architectures in Ensemble Learning for Histopathological Breast Cancer Classification. KDIR 2022: 109-118 - [c6]Ferdaous Idlahcen, Pierjos Francis Colere Mboukou, Hasnae Zerouaoui, Ali Idri:
Whole-slide Classification of H&E-stained Cervix Uteri Tissue using Deep Neural Networks. KDIR 2022: 322-329 - [c5]Fatima Zahrae Nakach
Random Forest Based Deep Hybrid Architecture for Histopathological Breast Cancer Images Classification. ICCSA (2) 2022: 3-18 - [c4]Omar El Alaoui
Deep Stacked Ensemble for Breast Cancer Diagnosis. WorldCIST (1) 2022: 435-445 - [c3]Fatima Zahrae Nakach
Deep Hybrid AdaBoost Ensembles for Histopathological Breast Cancer Classification. WorldCIST (1) 2022: 446-455 - 2021
- [j1]Hasnae Zerouaoui, Ali Idri
Reviewing Machine Learning and Image Processing Based Decision-Making Systems for Breast Cancer Imaging. J. Medical Syst. 45(1): 8 (2021) - [c2]Hasnae Zerouaoui, Ali Idri, Fatima Zahrae Nakach
Breast Fine Needle Cytological Classification Using Deep Hybrid Architectures. ICCSA (2) 2021: 186-202 - 2020
- [c1]Hasnae Zerouaoui, Ali Idri, Khalid El Asnaoui
Machine Learning and Image Processing for Breast Cancer: A Systematic Map. WorldCIST (3) 2020: 44-53
Coauthor Index
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