most citedSamDSK: Combining Segment Anything Model with Domain-Specific Knowledge for Semi-Supervised Learning in Medical Image Segmentation

6 citations · 6 across the 1 of their papers we have counts for

collaborators

1 paper

cs.CV2023★ 6 cited

SamDSK: Combining Segment Anything Model with Domain-Specific Knowledge for Semi-Supervised Learning in Medical Image Segmentation

Yizhe Zhang, Tao Zhou, Shuo Wang +3

The Segment Anything Model (SAM) exhibits a capability to segment a wide array of objects in natural images, serving as a versatile perceptual tool for various downstream image seg…