SnapSeg: Training-Free Few-Shot Medical Image Segmentation with Segment Anything Model

Nanxi Yu; Zhiyuan Cai; Yijin Huang; Xiaoying Tang

doi:10.1007/978-3-031-67751-9_9

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SnapSeg: Training-Free Few-Shot Medical Image Segmentation with Segment Anything Model

Nanxi Yu Zhiyuan Cai Yijin Huang Xiaoying Tang

Year: 2024 Lecture notes in computer science Pages: 109-122 Publisher: Springer Science+Business Media

DOI: 10.1007/978-3-031-67751-9_9

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Keywords:

Computer science Shot (pellet) Artificial intelligence Computer vision Segmentation Image segmentation Training (meteorology) Image (mathematics) Computer graphics (images)

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Advanced Neural Network Applications

Physical Sciences → Computer Science → Computer Vision and Pattern Recognition

Medical Imaging and Analysis

Physical Sciences → Engineering → Biomedical Engineering

Medical Image Segmentation Techniques

Physical Sciences → Computer Science → Computer Vision and Pattern Recognition

SnapSeg: Training-Free Few-Shot Medical Image Segmentation with Segment Anything Model

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