Medical Image Segmentation on Medical Segmentation Decathlon

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#	Model↕	Dice (Average)▼	Extra Data	Paper	Date↕	Code
1	Swin UNETR	78.68	No	Self-Supervised Pre-Training of Swin Transformer...	2021-11-29	Code
2	DiNTS	77.93	No	DiNTS: Differentiable Neural Network Topology Se...	2021-03-29	Code
3	nnUNet	77.89	No	nnU-Net: Self-adapting Framework for U-Net-Based...	2018-09-27	Code
4	Models Genesis	76.97	No	Models Genesis: Generic Autodidactic Models for ...	2019-08-19	Code
5	Trans VW	76.96	No	Transferable Visual Words: Exploiting the Semant...	2021-02-21	Code

#1Swin UNETRSOTA
78.68
Dice (Average)· 2021-11-29
Self-Supervised Pre-Training of Swin Transformers for 3D Medical Image Analysis Code
#2DiNTSSOTA
77.93
Dice (Average)· 2021-03-29
DiNTS: Differentiable Neural Network Topology Search for 3D Medical Image Segmentation Code
#3nnUNetSOTA
77.89
Dice (Average)· 2018-09-27
nnU-Net: Self-adapting Framework for U-Net-Based Medical Image Segmentation Code
#4Models Genesis
76.97
Dice (Average)· 2019-08-19
Models Genesis: Generic Autodidactic Models for 3D Medical Image Analysis Code
#5Trans VW
76.96
Dice (Average)· 2021-02-21
Transferable Visual Words: Exploiting the Semantics of Anatomical Patterns for Self-supervised Learning Code