MaskSAM: Towards Auto-prompt SAM with Mask Classification for Medical Image Segmentation

Segment Anything Model (SAM) is a prompt-driven foundation model for natural image segmentation, which is trained on the large-scale SA-1B dataset of 1B masks and 11M images.

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Cite this as

Bin Xie, Hao Tang, Bin Duan, Dawan Cai, Yan Yan (2024). Dataset: MaskSAM: Towards Auto-prompt SAM with Mask Classification for Medical Image Segmentation. https://doi.org/10.57702/h0qwl3gf

DOI retrieved: December 16, 2024

Additional Info

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Created December 16, 2024
Last update December 16, 2024
Author Bin Xie
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Hao Tang
Bin Duan
Dawan Cai
Yan Yan
Homepage https://arxiv.org/abs/2206.09443