Ayman El‐Baz

Multi-Stage Classification-Based Deep Learning for Gleason System Grading Using Histopathological Images

2022 · Cancers

In this work, we introduced an automated diagnostic system for Gleason system grading and grade groups (GG) classification using whole slide images (WSIs) of digitized prostate biopsy specimens (PBSs). Our system first classifies the Gleason …

Evaluating Machine Learning Techniques for Breast Cancer Detection: A Comprehensive Review

2025 · MEJ Mansoura Engineering Journal

Breast cancer is considered one of the most common types of cancer among women. significant amount of effort done in early detection to increase survival chance since early detection is a challenging task especially in …

A Comprehensive Deep Learning System With MGRF Modeling for Predicting Breast Cancer Response to Neoadjuvant Chemotherapy

2025 · IEEE Access

Accurate prediction of breast cancer (BC) response to neoadjuvant chemotherapy (NAC) is critical for tailoring treatment strategies and improving patient outcomes. This study introduces a novel deep learning-based framework that integrates multi-parametric magnetic resonance imaging …