Abdelali Elmoufidi

发表

EVALUATE DYNAMIC KMEANS ALGORITHM FOR AUTOMATICALLY SEGMENTED DIFFERENT BREAST REGIONS IN MAMMOGRAM BASED ON DENSITY BY USING SEED REGION GROWING TECHNIQUE

Khalid El Fahssi, Abdelali Elmoufidi, S. J. Andaloussi, 2015 .

Detection of Regions of Interest in Mammograms by Using Local Binary Pattern and Dynamic K-Means Algorithm

Khalid El Fahssi, Abdelali Elmoufidi, Abderrahim Sekkaki, 2015 .

Feature extraction of the lesion in mammogram images using segmentation by minimizing the energy and orthogonal transformation adaptive

Khalid El Fahssi, Abdelali Elmoufidi, A. Sekkaki, 2014 .

Benign or malignant lesion classification in mammography images using the adaptive orthogonal transformation and the coefficients of the correlation matrix

Khalid El Fahssi, Abdelali Elmoufidi, A. Sekkaki, 2015 .

Automatic Diagnosis and Classification of Abnormalities in Digital X-ray Mammograms

Khalid El Fahssi, G. Quellec, M. Lamard, 2016 .

Novel approach to classiﬁcation of Abnormalities in the mammogram image

Khalid El Fahssi, Abdelali Elmoufidi, A. Sekkaki, 2016 .

Deep multiple instance learning for automatic glaucoma prevention and auto-annotation using color fundus photography

Abdelali Elmoufidi, O. Ouchetto, Said Jai-Andaloussi, 2022, Progress in Artificial Intelligence.

Anomaly classification in digital mammography based on multiple-instance learning

Khalid El Fahssi, Abdelali Elmoufidi, Abderrahim Sekkaki, 2017, IET Image Process..

CNN with Multiple Input for automatic glaucoma assessment using Fundus Images

Abdelali ELMOUFIDI, Said Jai-andaloussi, Abdelali Elmoufidi, 2021 .

Hemorrhage semantic segmentation in fundus images for the diagnosis of diabetic retinopathy by using a convolutional neural network

Abdelali Elmoufidi, O. Ouchetto, Said Jai-Andaloussi, 2022, J. Big Data.

Deep learning for diabetic retinopathy assessments: a literature review

Abdelali Elmoufidi, O. Ouchetto, Said Jai-Andaloussi, 2023, Multimedia Tools and Applications.

Diabetic Retinopathy Prevention Using EfficientNetB3 Architecture and Fundus Photography

Abdelali Elmoufidi, Hind Ammoun, 2022, SN Computer Science.

Semantic Segmentation of Retinal Blood Vessels from Fundus Images by using CNN and the Random Forest Algorithm

Abdelali Elmoufidi, O. Ouchetto, Said Jai-Andaloussi, 2022, SENSORNETS.

Applied CNN for Automatic Diabetic Retinopathy Assessment Using Fundus Images

Abdelali Elmoufidi, Mourad Nachaoui, Ayoub Skouta, 2021, CBI.

Automated Binary Classification of Diabetic Retinopathy by Convolutional Neural Networks

Abdelali Elmoufidi, Said Jai-Andaloussi, Ayoub Skouta, 2020 .

Detection of regions of interest's in mammograms by using local binary pattern, dynamic k-means algorithm and gray level co-occurrence matrix

Abdelali Elmoufidi, Said Jai-Andaloussi, Abderrahim Sekkaki, 2014, 2014 International Conference on Next Generation Networks and Services (NGNS).

Deep Multiple Instance Learning for Automatic Breast Cancer Assessment Using Digital Mammography

Abdelali Elmoufidi, 2022, IEEE Transactions on Instrumentation and Measurement.

Pre-Processing Algorithms on Digital X-ray Mammograms

Abdelali Elmoufidi, Abdelali Elmoufidi, 2019, 2019 IEEE International Smart Cities Conference (ISC2).

Advances in the Application of Convolutional Neural Networks for Glaucoma Diagnosis

Abdelali Elmoufidi, O. Ouchetto, Said Jai-Andaloussi, 2023, 2023 3rd International Conference on Electrical, Computer, Communications and Mechatronics Engineering (ICECCME).

Mass segmentation in mammograms based on the minimisation of energy and active contour model

Khalid El Fahssi, Abdelali Elmoufidi, A. Sekkaki, 2014, 2014 IEEE International Symposium on Medical Measurements and Applications (MeMeA).

EfficientNetB3 Architecture for Diabetic Retinopathy Assessment using Fundus Images

Abdelali Elmoufidi, H. Amoun, 2021 .

Machine learning for glaucoma detection using fundus images

Amine El Hossi, M. Nachaoui, Abdelali Elmoufidi, 2023, Research on Biomedical Engineering.