Medical Image Segmentation on LiTS2017

Metric: IoU (higher is better)

LeaderboardDataset

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#	Model↕	IoU▼	Extra Data	Paper	Date↕	Code
1	Polar U-Net	89.85	No	-	-	Code
2	KiU-Net 3D Liver	89.46	No	KiU-Net: Overcomplete Convolutional Architecture...	2020-10-04	Code
3	Semantic Genesis	85.6	No	Learning Semantics-enriched Representation via S...	2020-07-14	Code
4	ModelGenesis	79.52	No	Models Genesis: Generic Autodidactic Models for ...	2019-08-19	Code
5	PVTFormer	78.46	No	CT Liver Segmentation via PVT-based Encoding and...	2024-01-17	Code

#1Polar U-Net
89.85
IoU
No paperCode
#2KiU-Net 3D LiverSOTA
89.46
IoU· 2020-10-04
KiU-Net: Overcomplete Convolutional Architectures for Biomedical Image and Volumetric Segmentation Code
#3Semantic GenesisSOTA
85.6
IoU· 2020-07-14
Learning Semantics-enriched Representation via Self-discovery, Self-classification, and Self-restoration Code
#4ModelGenesisSOTA
79.52
IoU· 2019-08-19
Models Genesis: Generic Autodidactic Models for 3D Medical Image Analysis Code
#5PVTFormer
78.46
IoU· 2024-01-17
CT Liver Segmentation via PVT-based Encoding and Refined Decoding Code