Medical Image Segmentation on Automatic Cardiac Diagnosis Challenge (ACDC)

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#	Model↕	Avg DSC▼	Extra Data	Paper	Date↕	Code
1	FCT	94.26	No	Adaptive t-vMF Dice Loss for Multi-class Medical...	2022-07-16	Code
2	Interactive AI-SAM gt box	93.89	Yes	AI-SAM: Automatic and Interactive Segment Anythi...	2023-12-05	Code
3	FCT	93.02	No	The Fully Convolutional Transformer for Medical ...	2022-06-01	Code
4	LHU-Net	92.65	No	LHU-Net: A Light Hybrid U-Net for Cost-Efficient...	2024-04-07	Code
5	MIST	92.56	No	MIST: Medical Image Segmentation Transformer wit...	2023-10-30	Code
6	MERIT	92.32	No	Multi-scale Hierarchical Vision Transformer with...	2023-03-29	Code
7	MERIT-GCASCADE	92.23	No	G-CASCADE: Efficient Cascaded Graph Convolutiona...	2023-10-24	Code
8	EMCAD	92.12	No	EMCAD: Efficient Multi-scale Convolutional Atten...	2024-05-11	Code
9	nnFormer	92.06	No	nnFormer: Interleaved Transformer for Volumetric...	2021-09-07	Code
10	Automatic AI-SAM	92.06	Yes	AI-SAM: Automatic and Interactive Segment Anythi...	2023-12-05	Code
11	PVT-GCASCADE	91.95	No	G-CASCADE: Efficient Cascaded Graph Convolutiona...	2023-10-24	Code
12	TransCASCADE	91.63	No	-	-	Code
13	PVT-CASCADE	91.46	No	-	-	Code
14	SegFormer3D	90.96	No	SegFormer3D: an Efficient Transformer for 3D Med...	2024-04-15	Code
15	TransUNet	90.4	No	S2S2: Semantic Stacking for Robust Semantic Segm...	2024-12-17	Code
16	SwinUnet	90	No	Swin-Unet: Unet-like Pure Transformer for Medica...	2021-05-12	Code
17	TransUNet	89.71	No	TransUNet: Transformers Make Strong Encoders for...	2021-02-08	Code
18	MISSFormer	87.9	No	MISSFormer: An Effective Medical Image Segmentat...	2021-09-15	Code
19	R50-ViT-CUP	87.57	No	TransUNet: Transformers Make Strong Encoders for...	2021-02-08	Code
20	R50-AttnUNet	86.75	No	TransUNet: Transformers Make Strong Encoders for...	2021-02-08	Code

#1FCTSOTA
94.26
Avg DSC· 2022-07-16
Adaptive t-vMF Dice Loss for Multi-class Medical Image Segmentation Code
#2Interactive AI-SAM gt box
93.89
Avg DSC· Extra Data· 2023-12-05
AI-SAM: Automatic and Interactive Segment Anything Model Code
#3FCTSOTA
93.02
Avg DSC· 2022-06-01
The Fully Convolutional Transformer for Medical Image Segmentation Code
#4LHU-Net
92.65
Avg DSC· 2024-04-07
LHU-Net: A Light Hybrid U-Net for Cost-Efficient, High-Performance Volumetric Medical Image Segmentation Code
#5MIST
92.56
Avg DSC· 2023-10-30
MIST: Medical Image Segmentation Transformer with Convolutional Attention Mixing (CAM) Decoder Code
#6MERIT
92.32
Avg DSC· 2023-03-29
Multi-scale Hierarchical Vision Transformer with Cascaded Attention Decoding for Medical Image Segmentation Code
#7MERIT-GCASCADE
92.23
Avg DSC· 2023-10-24
G-CASCADE: Efficient Cascaded Graph Convolutional Decoding for 2D Medical Image Segmentation Code
#8EMCAD
92.12
Avg DSC· 2024-05-11
EMCAD: Efficient Multi-scale Convolutional Attention Decoding for Medical Image Segmentation Code
#9nnFormerSOTA
92.06
Avg DSC· 2021-09-07
nnFormer: Interleaved Transformer for Volumetric Segmentation Code
#10Automatic AI-SAM
92.06
Avg DSC· Extra Data· 2023-12-05
AI-SAM: Automatic and Interactive Segment Anything Model Code
#11PVT-GCASCADE
91.95
Avg DSC· 2023-10-24
G-CASCADE: Efficient Cascaded Graph Convolutional Decoding for 2D Medical Image Segmentation Code
#12TransCASCADE
91.63
Avg DSC
No paperCode
#13PVT-CASCADE
91.46
Avg DSC
No paperCode
#14SegFormer3D
90.96
Avg DSC· 2024-04-15
SegFormer3D: an Efficient Transformer for 3D Medical Image Segmentation Code
#15TransUNet
90.4
Avg DSC· 2024-12-17
S2S2: Semantic Stacking for Robust Semantic Segmentation in Medical Imaging Code
#16SwinUnetSOTA
90
Avg DSC· 2021-05-12
Swin-Unet: Unet-like Pure Transformer for Medical Image Segmentation Code
#17TransUNetSOTA
89.71
Avg DSC· 2021-02-08
TransUNet: Transformers Make Strong Encoders for Medical Image Segmentation Code
#18MISSFormer
87.9
Avg DSC· 2021-09-15
MISSFormer: An Effective Medical Image Segmentation Transformer Code
#19R50-ViT-CUP
87.57
Avg DSC· 2021-02-08
TransUNet: Transformers Make Strong Encoders for Medical Image Segmentation Code
#20R50-AttnUNet
86.75
Avg DSC· 2021-02-08
TransUNet: Transformers Make Strong Encoders for Medical Image Segmentation Code