Self-sampling meta sam: Enhancing few-shot medical image segmentation with meta-learning

[PDF] arxiv.org

Foundation models for biomedical image segmentation: A survey

HH Lee, Y Gu, T Zhao, Y Xu, J Yang… - arXiv preprint arXiv …, 2024 - arxiv.org
Recent advancements in biomedical image analysis have been significantly driven by the
Segment Anything Model (SAM). This transformative technology, originally developed for …
被引用次数：9 相关文章 所有 2 个版本
[PDF] thecvf.com

Unleashing the potential of SAM for medical adaptation via hierarchical decoding

Z Cheng, Q Wei, H Zhu, Y Wang, L Qu… - Proceedings of the …, 2024 - openaccess.thecvf.com
Abstract The Segment Anything Model (SAM) has garnered significant attention for its
versatile segmentation abilities and intuitive prompt-based interface. However its application …
被引用次数：8 相关文章 所有 3 个版本