Ameur Mustapha - Profil du chercheur

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Informations du chercheur

Nom complet

Ameur Mustapha

Grade

Spécialité

Mathématiques et informatique

Thématique de recherche

Maths Informatiques, Intelligence artificielle , traitement d'image

Laboratoire

Laboratoire de Modélisation des Systèmes Complexes

Établissement

Ecole Nationale des Sciences Appliquées de Marrakech

Ouvrages (2 au total)

metaheuristic-Based Deep Learning for Medical Image Segmentation

Auteur: Mohamed Khouy, Younes Jabrane, Mustapha Ameur

Année: 2025

Éditeur: LAP Lambert Academic Publishing

Amélioration de la segmentation d’images par des métaheuristiques

Auteur: Maryam Habba. Mustapha Ameur, Younes Jabrane

Année: 2022

Éditeur: Editions Universitaires Européennes

Chapitres d'ouvrage (0 au total)

Aucun chapitre disponible.

Projets (0 au total)

Aucun projet disponible.

Publications (6 au total)

Enhancing Automated Breast Cancer Detection: A CNN-Driven Method for Multi-Modal Imaging Techniques

Auteur: Khadija Aguerchi, Younes Jabrane, Maryam Habba, Mustapha Ameur, Amir Hajjam El Hassani

Revue: Journal of Personalized Medicine

Année: 2025

DOI: 10.3390/jpm15100467

On the Use of Transfer Learning to Improve Breast Cancer Detection

Auteur: Khadija Aguerchi, Younes jabrane, Maryam habba, Mustapha Ameur

Revue: IJSRES

Année: 2024

DOI: 10.5281/ZENODO.11217339

Medical Image Segmentation Using Automatic Optimized U-Net Architecture Based on Genetic Algorithm

Auteur: Mohammed Khouy, Younes Jabrane, Mustapha Ameur, Amir Hajjam El Hassani

Revue: Journal of Personalized Medicine

Année: 2023

DOI: 10.3390/jpm13091298

A comparative study of nature inspired optimization algorithms on multilevel thresholding image segmentation

Auteur: Mustapha Ameur, Maryam Habba, Younes Jabrane

Revue: Multimedia Tools and Applications, Springer

Année: 2019

DOI: 10.1007/s11042-019-08133-8

A novel Gini index based evaluation criterion for image segmentation

Auteur: Maryam Habba, Mustapha Ameur, Younes Jabrane

Revue: Optik, Elsevier

Année: 2018

DOI: 10.1016/j.ijleo.2018.04.045

Double power method iteration for parallel eigenvalue problem

Auteur: Karim Rhofir, Mustapha Ameur, Atika Radid

Revue: International Journal of Pure and Applied Mathematics

Année: 2016

DOI: 10.12732/ijpam.v108i4.19

Communications (9 au total)

Advancing Auto- mated Breast Cancer Prediction and Diagnosis: A CNN-Based Approach Using Mammography Datasets

Manifestation: JetSan2025

Date: 2025-06-18

Organisation: Troyes, France

Breast Cancer Diagnosis using Deep Learning

Manifestation: 6th International Black Sea Modern Scientific Research Congress

Date: 2024-08-23

Organisation: Trabzon, Turkiye

Enhancing Breast Cancer Detection with Deep Learning: Applying Transfer Learning

Manifestation: 1st International Canadian Scientific Research Congress

Date: 2024-05-1

Organisation: Toronto,Canada

Optimal U-Net using Grey Wolf algorithm for retinal vessel segmentation

Manifestation: 4th International Conference on Innovative Research in Applied Science, Engineering and Technology, 2024 Fez-Morocco

Date: 2024

Organisation: Fes , Maroc

Breast cancer diagnosis using deep learrning

Manifestation: 5ème Édition Journée Scientifique Doctorale

Date: 2024

Organisation: Marrakech

Automatic U-NET Architecture Optimization for Medical Image Segmentation Based on Genetic Algorithm

Manifestation: 5ème Édition Journée Scientifique Doctorale

Date: 2024

Organisation: Marrakech

U-Net for Colorectal Polyp Segmentation-based Genetic Algorithm Optimization

Manifestation: The 7th African International Conference (AIC) on Statistics Advanced Statistics and Data Science in Africa

Date: 2023-06-12

Organisation: Marrakech, Maroc

A novel evaluation method based on the Gini Simpson index for image segmentation

Manifestation: ICSAT'2018

Date: 2018-05-02

Organisation: Beni Mellal, Morocco

A multilevel thresholding method for image segmentation based on multiobjective particle swarm optimization

Manifestation: 2017 International Conference on Embedded and Intelligent Systems (WITS)

Date: 2017

Organisation: Fés

Thèses (1 au total)

Conception de métaheuristiques d'optimisation pour la segmentation d'images numériques

Auteur: Maryam HABBA

Directeur: Younes JABRANE; Mustapha AMEUR

Soutenance: 2019

Informations du chercheur

Nom complet

Grade

Spécialité

Thématique de recherche

Laboratoire

Établissement

Ouvrages (2 au total)

metaheuristic-Based Deep Learning for Medical Image Segmentation

Amélioration de la segmentation d’images par des métaheuristiques

Chapitres d'ouvrage (0 au total)

Projets (0 au total)

Publications (6 au total)

Enhancing Automated Breast Cancer Detection: A CNN-Driven Method for Multi-Modal Imaging Techniques

On the Use of Transfer Learning to Improve Breast Cancer Detection

Medical Image Segmentation Using Automatic Optimized U-Net Architecture Based on Genetic Algorithm

A comparative study of nature inspired optimization algorithms on multilevel thresholding image segmentation

A novel Gini index based evaluation criterion for image segmentation

Double power method iteration for parallel eigenvalue problem

Communications (9 au total)

Advancing Auto- mated Breast Cancer Prediction and Diagnosis: A CNN-Based Approach Using Mammography Datasets

Breast Cancer Diagnosis using Deep Learning

Enhancing Breast Cancer Detection with Deep Learning: Applying Transfer Learning

Optimal U-Net using Grey Wolf algorithm for retinal vessel segmentation

Breast cancer diagnosis using deep learrning

Automatic U-NET Architecture Optimization for Medical Image Segmentation Based on Genetic Algorithm

U-Net for Colorectal Polyp Segmentation-based Genetic Algorithm Optimization

A novel evaluation method based on the Gini Simpson index for image segmentation

A multilevel thresholding method for image segmentation based on multiobjective particle swarm optimization

Thèses (1 au total)

Conception de m&eacute;taheuristiques d'optimisation pour la segmentation d'images num&eacute;riques

Conception de métaheuristiques d'optimisation pour la segmentation d'images numériques