Abstract This study aims to develop a multi-label classification model based on pelvic X-rays for the diagnosis and assessment of Ankylosing Spondylitis (AS), addressing the challenges of limited expert resources in underdeveloped regions. We propose a deep learning-based multi-l…
Introduction Proper interpretation of the colonoscopic images is important to early detect and diagnose colorectal diseases like polyps and inflammatory bowel diseases. However, the complex visual patterns and high intra-class similarity of such images make the automated classifi…
Many math- and science-oriented agent systems use hierarchical designs with specialized reviewer roles, assuming that a dedicated review stage should help turn wrong candidates into correct ones. We test this assumption on 4,181 verifier-grounded Omni-MATH problems using matched…