A Review of Deep Learning Approaches Based on Segment Anything Model for Medical Image Segmentation
Medical image segmentation has undergone significant changes in recent years, mainly due to the development of base models. The introduction of the Segment Anything Model (SAM) represents a major shift from task-specific architectures to universal architectures. This review discusses the adaptation...
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| Principais autores: | , , , |
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| 格式: | Artigo |
| 語言: | Inglês |
| 出版: |
MDPI AG
2025-11-01
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| 叢編: | Bioengineering |
| 主題: | |
| 在線閱讀: | https://www.mdpi.com/2306-5354/12/12/1312 |
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