Nassima Dif

According to our database, Nassima Dif authored at least 16 papers between 2018 and 2025.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of five.

2025

FCC-FMLO and FLeft-FRight: two novel multi-view fusion techniques for breast density assessment from mammograms.

Nassima Dif, Mohamed El Amine Boudinar, Mohamed Amine Abdelali, Jesia Asma Benchouk, Sidi Mohammed Benslimane

Multim. Tools Appl., June, 2025

BrainAR: Automated Brain Tumor Diagnosis With Deep Learning and 3D Augmented Reality Visualization.

Meriem Khedir, Kahina Amara, Nassima Dif, Oussama Kerdjidj, Shadi Atalla, Naeem Ramzan

IEEE Access, 2025

2024

New attention-gated residual deep convolutional network for accurate lung segmentation in chest x-rays.

Nesrine Boudoukhani, Zakaria Elberrichi, Latefa Oulladji, Nassima Dif

Evol. Syst., June, 2024

An Efficient Transferred Cascade System for COVID-19 Detection from Chest X-ray Images.

Nassima Dif, Zakaria Elberrichi

Informatica (Slovenia), 2024

2023

Regions of interest selection in histopathological images using subspace and multi-objective stream clustering.

Mohammed Oualid Attaoui, Nassima Dif, Hanene Azzag, Mustapha Lebbah

Vis. Comput., April, 2023

2022

Transfer learning from synthetic labels for histopathological images classification.

Nassima Dif, Mohammed Oualid Attaoui, Zakaria Elberrichi, Mustapha Lebbah, Hanene Azzag

Appl. Intell., 2022

2021

An Automatic Blocking Keys Selection For Efficient Record Linkage.

Hamid Naceur Benkhaled, Djamal Berrabah, Nassima Dif, Faouzi Boufarès

Int. J. Organ. Collect. Intell., 2021

A Novel Dynamic Hybridization Method for Best Feature Selection.

Nassima Dif, Zakaria Elberrichi

Int. J. Appl. Metaheuristic Comput., 2021

2020

Deep Learning Methods for Mitosis Detection in Breast Cancer Histopathological Images: A Comprehensive Review.

Nassima Dif, Zakaria Elberrichi

AI and ML for Digital Pathology, 2020

L'apprentissage profond pour le traitement des images. (Deep learning methods for histopathological images classification).

Nassima Dif

PhD thesis, 2020

A New Intra Fine-Tuning Method Between Histopathological Datasets in Deep Learning.

Nassima Dif, Zakaria Elberrichi

Int. J. Serv. Sci. Manag. Eng. Technol., 2020

A New Deep Learning Model Selection Method for Colorectal Cancer Classification.

Nassima Dif, Zakaria Elberrichi

Int. J. Swarm Intell. Res., 2020

Efficient Regularization Framework for Histopathological Image Classification Using Convolutional Neural Networks.

Nassima Dif, Zakaria Elberrichi

Int. J. Cogn. Informatics Nat. Intell., 2020

2019

An Enhanced Recursive Firefly Algorithm for Informative Gene Selection.

Nassima Dif, Zakaria Elberrichi

Int. J. Swarm Intell. Res., 2019

2018

A Multi-Verse Optimizer Approach for Instance Selection and Optimizing 1-NN Algorithm.

Nassima Dif, Zakaria Elberrichi

Int. J. Strateg. Inf. Technol. Appl., 2018

Gene Selection for Microarray Data Classification Using Hybrid Meta-Heuristics.

Nassima Dif, Mohamed Walid Attaoui, Zakaria Elberrichi

Proceedings of the Modelling and Implementation of Complex Systems, 2018