FastSAM3D: An Efficient Segment Anything Model for 3D Volumetric Medical Images

Shen, Yiqing; Li, Jingxing; Shao, Xinyuan; Inigo Romillo, Blanca; Jindal, Ankush; Dreizin, David; Unberath, Mathias

doi:10.1007/978-3-031-72390-2_51

Lecture Notes in Computer Science

2024

DOI: 10.1007/978-3-031-72390-2_51

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FastSAM3D: An Efficient Segment Anything Model for 3D Volumetric Medical Images

Yiqing Shen,

Jingxing Li,

Xinyuan Shao

et al.

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Cited by 3 publications

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FastSAM3D: An Efficient Segment Anything Model for 3D Volumetric Medical Images

Cited by 3 publications

References 21 publications

FastSAM-3DSlicer: A 3D-Slicer Extension for 3D Volumetric Segment Anything Model with Uncertainty Quantification

FastSAM-3DSlicer: A 3D-Slicer Extension for 3D Volumetric Segment Anything Model with Uncertainty Quantification

SAMU: An Efficient and Promptable Foundation Model for Medical Image Segmentation

TotalCT-SAM: A Whole-Body CT Segment Anything Model with Memorizing Transformer

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