6 citations · 6 across the 1 of their papers we have counts for
3 papers
cs.CV2026
An AI-Based Multi-Stage Approach for Androgenetic Alopecia Assessment from Low-Magnification Scalp Images
Mahmoud Raslan, Nada Omar, Omar Khaled +7
Androgenetic alopecia (AGA) is characterized by patterned follicular miniaturization, increased single-hair follicular units, and altered hair-shaft diameter. We present an automat…
cs.CV2026
Detail in Context: A Dual-Scale Machine Learning Framework for Mycosis Fungoides Detection
Mohamed Hazem, Tarek Waleed, Omar Khaled +8
Mycosis fungoides (MF) is a rare form of cutaneous T-cell lymphoma that is often misdiagnosed in early stages due to its visual similarity to benign inflammatory dermatoses. Early…
eess.IV2024★ 6 cited
Deep Learning Segmentation and Classification of Red Blood Cells Using a Large Multi-Scanner Dataset
Mohamed Elmanna, Ahmed Elsafty, Yomna Ahmed +2
Digital pathology has recently been revolutionized by advancements in artificial intelligence, deep learning, and high-performance computing. With its advanced tools, digital patho…