Medical Image Segmentation On Acdc
평가 지표
Dice Score
평가 결과
이 벤치마크에서 각 모델의 성능 결과
모델 이름 | Dice Score | Paper Title | Repository |
---|---|---|---|
Swin UNet | 0.9 | Swin-Unet: Unet-like Pure Transformer for Medical Image Segmentation | - |
FCT | 0.9302 | The Fully Convolutional Transformer for Medical Image Segmentation | - |
AgileFormer | 0.9255 | AgileFormer: Spatially Agile Transformer UNet for Medical Image Segmentation | - |
TransUNet | 0.8971 | TransUNet: Transformers Make Strong Encoders for Medical Image Segmentation | - |
EMCAD | 0.9212 | EMCAD: Efficient Multi-scale Convolutional Attention Decoding for Medical Image Segmentation | - |
RWKV-UNet | 0.9217 | RWKV-UNet: Improving UNet with Long-Range Cooperation for Effective Medical Image Segmentation | - |
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