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WSI-SAM: Multi-resolution Segment Anything Model (SAM) for histopathology whole-slide images
March 15, 2024, 4:45 a.m. | Hong Liu, Haosen Yang, Paul J. van Diest, Josien P. W. Pluim, Mitko Veta
cs.CV updates on arXiv.org arxiv.org
Abstract: The Segment Anything Model (SAM) marks a significant advancement in segmentation models, offering powerful zero-shot capabilities and dynamic prompting. However, existing medical SAMs are not suitable for the multi-scale nature of whole-slide images (WSIs), restricting their effectiveness. To resolve this drawback, we present WSI-SAM, enhancing SAM with precise object segmentation capabilities for histopathology images using multi-resolution patches, while preserving its original prompt-driven design, efficiency, and zero-shot adaptability. To fully exploit pretrained knowledge while minimizing training …
arxiv cs.cv images sam segment segment anything segment anything model type
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