An efficient segment anything model for the segmentation of medical images
Abstract This paper introduces the efficient medical-images-aimed segment anything model (EMedSAM), addressing the high computational demands and limited adaptability of using SAM for medical image segmentation tasks. We present a novel, compact image encoder, DD-TinyViT, designed to enhance segment...
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| Asıl Yazarlar: | , , , , , , |
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| Materyal Türü: | Artigo |
| Dil: | Inglês |
| Baskı/Yayın Bilgisi: |
Nature Portfolio
2024-08-01
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| Seri Bilgileri: | Scientific Reports |
| Konular: | |
| Online Erişim: | https://doi.org/10.1038/s41598-024-70288-8 |
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