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Segment anything model for medical image segmentation: A review
肖
S
X
L
J
DOI:10.1016/j.compmedimag.2026.102789.png)
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
IF:
4.9
Papers:
2.4K
Citations:
5.0K
Organization
No organization information available
