57 citations · 63 across the 3 of their papers we have counts for
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eess.IV2025★ 5 cited
Deep Distance Map Regression Network with Shape-aware Loss for Imbalanced Medical Image Segmentation
Huiyu Li, Xiabi Liu, Said Boumaraf +3
Small object segmentation, like tumor segmentation, is a difficult and critical task in the field of medical image analysis. Although deep learning based methods have achieved prom…
eess.IV2020★ 57 cited
A New Computer-Aided Diagnosis System with Modified Genetic Feature Selection for BI-RADS Classification of Breast Masses in Mammograms
Said Boumaraf, Xiabi Liu, Chokri Ferkous +1
Mammography remains the most prevalent imaging tool for early breast cancer screening. The language used to describe abnormalities in mammographic reports is based on the breast Im…
eess.IV2019★ 1 cited
A New Three-stage Curriculum Learning Approach to Deep Network Based Liver Tumor Segmentation
Huiyu Li, Xiabi Liu, Said Boumaraf +3
Automatic segmentation of liver tumors in medical images is crucial for the computer-aided diagnosis and therapy. It is a challenging task, since the tumors are notoriously small a…