Kavli Affiliate: Jing Wang | First 5 Authors: Mengmeng Zhang, Xingyuan Dai, Yicheng Sun, Jing Wang, Yueyang Yao | Summary: Although the Segment Anything Model (SAM) is highly effective in natural image segmentation, it requires dependencies on prompts, which limits its applicability to medical imaging where manual prompts are often unavailable. Existing efforts to fine-tune […]
Continue.. Hierarchical Self-Prompting SAM: A Prompt-Free Medical Image Segmentation Framework