57 citations · 59 across the 3 of their papers we have counts for
3 papers
eess.IV2021★ 1 cited
Fusing Medical Image Features and Clinical Features with Deep Learning for Computer-Aided Diagnosis
Songxiao Yang, Xiabi Liu, Zhongshu Zheng +2
Current Computer-Aided Diagnosis (CAD) methods mainly depend on medical images. The clinical information, which usually needs to be considered in practical clinical diagnosis, has…
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…