The Segment Anything Model (SAM) is a foundation model for prompt-driven image segmentation tasks. Manual prompting increases the burden, leading to subpar performance in medical imaging. UR-SAM proposes uncertainty rectification to improve reliability without manual prompting. Experiments show up to 13.8% improvement in segmentation performance.
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ข้อมูลเชิงลึกที่สำคัญจาก
by Yichi Zhang,... ที่ arxiv.org 03-19-2024
https://arxiv.org/pdf/2311.10529.pdfสอบถามเพิ่มเติม