most citedEnhancing the Reliability of Segment Anything Model for Auto-Prompting Medical Image Segmentation with Uncertainty Rectification

8 citations · 8 across the 1 of their papers we have counts for

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1 paper

cs.CV2023★ 8 cited

Enhancing the Reliability of Segment Anything Model for Auto-Prompting Medical Image Segmentation with Uncertainty Rectification

Yichi Zhang, Shiyao Hu, Sijie Ren +3

The Segment Anything Model (SAM) has recently emerged as a groundbreaking foundation model for prompt-driven image segmentation tasks. However, both the original SAM and its medica…