Ameur Mustapha - Profil du chercheur

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

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

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