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SegVol: Universal and Interactive Volumetric Medical Image Segmentation

By Yuxin Du and others at
LogoChinese University of Hong Kong
and
LogoUniversity of Hong Kong
Precise image segmentation provides clinical study with instructive information. Despite the remarkable progress achieved in medical image segmentation, there is still an absence of a 3D foundation segmentation model that can segment a wide range of anatomical categories with easy user interaction. In this paper, we propose a 3D foundation... Show more
August 29, 2024
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SegVol: Universal and Interactive Volumetric Medical Image Segmentation
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