2 papers
cs.LG2026
INFORM-CT: INtegrating LLMs and VLMs FOR Incidental Findings Management in Abdominal CT
Idan Tankel, Nir Mazor, Rafi Brada +2
Incidental findings in CT scans, though often benign, can have significant clinical implications and should be reported following established guidelines. Traditional manual inspect…
cs.CV2024
Real Classification by Description: Extending CLIP's Limits of Part Attributes Recognition
Ethan Baron, Idan Tankel, Peter Tu +1
In this study, we define and tackle zero shot "real" classification by description, a novel task that evaluates the ability of Vision-Language Models (VLMs) like CLIP to classify o…