Medical Image Segmentation On Acdc

Dice Score

評価結果

このベンチマークにおける各モデルのパフォーマンス結果

モデル名	Dice Score	Paper Title
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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