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Medical Image Segmentation On Miccai 2015 1

Metrics

Avg DSC

Results

Performance results of various models on this benchmark

		Paper Title	Repository
MERIT	84.90	Multi-scale Hierarchical Vision Transformer with Cascaded Attention Decoding for Medical Image Segmentation
MERIT-GCASCADE	84.54	G-CASCADE: Efficient Cascaded Graph Convolutional Decoding for 2D Medical Image Segmentation
RWKV-UNet	84.02	RWKV-UNet: Improving UNet with Long-Range Cooperation for Effective Medical Image Segmentation
EMCAD	83.63	EMCAD: Efficient Multi-scale Convolutional Attention Decoding for Medical Image Segmentation
PVT-GCASCADE	83.28	G-CASCADE: Efficient Cascaded Graph Convolutional Decoding for 2D Medical Image Segmentation
TransCASCADE	82.68	Medical Image Segmentation via Cascaded Attention Decoding	-
3D Att-UNet-MTL-TSOL	82	Improved Abdominal Multi-Organ Segmentation via 3D Boundary-Constrained Deep Neural Networks
PVT-CASCADE	81.06	Medical Image Segmentation via Cascaded Attention Decoding	-

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Medical Image Segmentation On Miccai 2015 1 | SOTA | HyperAI