Hasnae Zerouaoui

Orcid: 0000-0001-7268-8404

According to our database1, Hasnae Zerouaoui authored at least 19 papers between 2020 and 2024.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

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Bibliography

2024
New design strategies of deep heterogenous convolutional neural networks ensembles for breast cancer diagnosis.
Multim. Tools Appl., July, 2024

AMONuSeg: A Histological Dataset for African Multi-organ Nuclei Semantic Segmentation.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2024, 2024

2023
A new approach for histological classification of breast cancer using deep hybrid heterogenous ensemble.
Data Technol. Appl., 2023

Binary classification of multi-magnification histopathological breast cancer images using late fusion and transfer learning.
Data Technol. Appl., 2023

Applied Deep Learning Architectures for Breast Cancer Screening Classification.
Proceedings of the 15th International Conference on Agents and Artificial Intelligence, 2023

Deep Hybrid Bagging Ensembles for Classifying Histopathological Breast Cancer Images.
Proceedings of the 15th International Conference on Agents and Artificial Intelligence, 2023

Integrating Autoencoder-Based Hybrid Models into Cervical Carcinoma Prediction from Liquid-Based Cytology.
Proceedings of the 12th International Conference on Data Science, 2023

2022
Deep hybrid architectures for binary classification of medical breast cancer images.
Biomed. Signal Process. Control., 2022

Deep Hybrid AdaBoost Ensembles for Histopathological Breast Cancer Classification.
Proceedings of the Information Systems and Technologies, 2022

Deep Stacked Ensemble for Breast Cancer Diagnosis.
Proceedings of the Information Systems and Technologies, 2022

Random Forest Based Deep Hybrid Architecture for Histopathological Breast Cancer Images Classification.
Proceedings of the Computational Science and Its Applications - ICCSA 2022, 2022

Assessing the Impact of Deep End-to-End Architectures in Ensemble Learning for Histopathological Breast Cancer Classification.
Proceedings of the 14th International Joint Conference on Knowledge Discovery, 2022

Comparative Assessment of Deep End-To-End, Deep Hybrid and Deep Ensemble Learning Architectures for Breast Cancer Histological Classification.
Proceedings of the Knowledge Discovery, Knowledge Engineering and Knowledge Management, 2022

Whole-slide Classification of H&E-stained Cervix Uteri Tissue using Deep Neural Networks.
Proceedings of the 14th International Joint Conference on Knowledge Discovery, 2022

Classifying Breast Cytological Images using Deep Learning Architectures.
Proceedings of the 15th International Joint Conference on Biomedical Engineering Systems and Technologies, 2022

Histological breast cancer classification using CNN and MLP based ensembles.
Proceedings of the 19th IEEE/ACS International Conference on Computer Systems and Applications, 2022

2021
Reviewing Machine Learning and Image Processing Based Decision-Making Systems for Breast Cancer Imaging.
J. Medical Syst., 2021

Breast Fine Needle Cytological Classification Using Deep Hybrid Architectures.
Proceedings of the Computational Science and Its Applications - ICCSA 2021, 2021

2020
Machine Learning and Image Processing for Breast Cancer: A Systematic Map.
Proceedings of the Trends and Innovations in Information Systems and Technologies, 2020


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