cross-modality segmentation 1liver lesion segmentation 1non-contrast ct 1segment anything model 1visual prompting 1
From the 1 of 2 linked papers with an AI index.
2 papers
eess.IV2026
ViPSAM: Visual Prompting Medical Image Segmentation Using Segment Anything Model
San Lee, Nalee Kim, Jeong Il Yu +2
ViPSAM is a visual prompting framework that uses the Segment Anything Model together with contrast-enhanced MRI as visual guidance to improve liver lesion segmentation on low‑contr…
cs.CV2026
CheXpercept: A Benchmark for Evaluating Expert-Level Lesion Perception in Chest X-rays
Geon Choi, Hangyul Yoon, Nalee Kim +5
The evaluation of vision-language models (VLMs) for chest X-ray (CXR) analysis has largely been limited to disease-presence classification without visual grounding. Such evaluation…