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Segment anything model for medical image segmentation: A review

delete2026-06-12
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PRE
AI
肖
肖汉光 (Hanguang Xiao) *
S
Shuai Liu
X
Xingyue Liu
L
Lingling Qian
J
Jiaxin Jiang
DOI：10.1016/j.compmedimag.2026.102789delete
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Abstract

Abstract

En 中文
• Presents a comprehensive review of SAM-based medical image segmentation. • Proposes a unified framework of five key challenges and research directions. • Summarizes recent advances and identifies gaps for future model development. • Provides insights toward clinically reliable and efficient SAM-based systems.

Journal

Computerized Medical Imaging and Graphics cover
Computerized Medical Imaging and Graphics
IF:
4.9
Papers:
2.4K
Citations:
5.0K

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