ViPSAM: Visual Prompting Medical Image Segmentation Using Segment Anything Model

arXiv cs.AI · 6 hours ago

ViPSAM is a visual prompting framework built on the Segment Anything Model that segments lesions in low-contrast CT scans by incorporating guidance from contrast-enhanced MRI images. The method was evaluated on liver lesion segmentation in non-contrast CT scans acquired for proton therapy planning and outperformed U-Net and baseline SAM approaches. This approach enables more accurate lesion delineation in medical images where contrast between lesions and background tissue is poor, improving segmentation reliability for clinical applications.