Medical Image Segmentation On Acdc

Dice Score

Results

Performance results of various models on this benchmark

		Paper Title
FCT	0.9302	The Fully Convolutional Transformer for Medical Image Segmentation
AgileFormer	0.9255	AgileFormer: Spatially Agile Transformer UNet for Medical Image Segmentation
RWKV-UNet	0.9217	RWKV-UNet: Improving UNet with Long-Range Cooperation for Effective Medical Image Segmentation
EMCAD	0.9212	EMCAD: Efficient Multi-scale Convolutional Attention Decoding for Medical Image Segmentation
Swin UNet	0.9	Swin-Unet: Unet-like Pure Transformer for Medical Image Segmentation
TransUNet	0.8971	TransUNet: Transformers Make Strong Encoders for Medical Image Segmentation

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