5 papers
MammoClean: Toward Reproducible and Bias-Aware AI in Mammography through Dataset Harmonization
Yalda Zafari, Hongyi Pan, Gorkem Durak +3
The development of clinically reliable artificial intelligence (AI) systems for mammography is hindered by profound heterogeneity in data quality, metadata standards, and populatio…
CURE: Confidence-driven Unified Reasoning Ensemble Framework for Medical Question Answering
Ziad Elshaer, Essam A. Rashed
High-performing medical Large Language Models (LLMs) typically require extensive fine-tuning with substantial computational resources, limiting accessibility for resource-constrain…
Advances in Medical Image Segmentation: A Comprehensive Survey with a Focus on Lumbar Spine Applications
Ahmed Kabil, Ghada Khoriba, Mina Yousef +1
Medical Image Segmentation (MIS) stands as a cornerstone in medical image analysis, playing a pivotal role in precise diagnostics, treatment planning, and monitoring of various med…
Medical AI Consensus: A Multi-Agent Framework for Radiology Report Generation and Evaluation
Ahmed T. Elboardy, Ghada Khoriba, Essam A. Rashed
Automating radiology report generation poses a dual challenge: building clinically reliable systems and designing rigorous evaluation protocols. We introduce a multi-agent reinforc…
A Hybrid CNN-VSSM model for Multi-View, Multi-Task Mammography Analysis: Robust Diagnosis with Attention-Based Fusion
Yalda Zafari, Roaa Elalfy, Mohamed Mabrok +3
Early and accurate interpretation of screening mammograms is essential for effective breast cancer detection, yet it remains a complex challenge due to subtle imaging findings and…