OpenCodePapers

medical-image-segmentation-on-automatic

Medical Image Segmentation
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PaperCodeAvg DSCModelNameReleaseDate
Adaptive t-vMF Dice Loss for Multi-class Medical Image Segmentation✓ Link94.26FCT2022-07-16
AI-SAM: Automatic and Interactive Segment Anything Model✓ Link93.89Interactive AI-SAM gt box2023-12-05
The Fully Convolutional Transformer for Medical Image Segmentation✓ Link93.02FCT2022-06-01
LHU-Net: A Light Hybrid U-Net for Cost-Efficient, High-Performance Volumetric Medical Image Segmentation✓ Link92.65LHU-Net2024-04-07
MIST: Medical Image Segmentation Transformer with Convolutional Attention Mixing (CAM) Decoder✓ Link92.56MIST2023-10-30
Multi-scale Hierarchical Vision Transformer with Cascaded Attention Decoding for Medical Image Segmentation✓ Link92.32MERIT2023-03-29
G-CASCADE: Efficient Cascaded Graph Convolutional Decoding for 2D Medical Image Segmentation✓ Link92.23MERIT-GCASCADE2023-10-24
EMCAD: Efficient Multi-scale Convolutional Attention Decoding for Medical Image Segmentation✓ Link92.12EMCAD2024-05-11
nnFormer: Interleaved Transformer for Volumetric Segmentation✓ Link92.06nnFormer2021-09-07
AI-SAM: Automatic and Interactive Segment Anything Model✓ Link92.06Automatic AI-SAM2023-12-05
G-CASCADE: Efficient Cascaded Graph Convolutional Decoding for 2D Medical Image Segmentation✓ Link91.95PVT-GCASCADE2023-10-24
Medical Image Segmentation via Cascaded Attention Decoding✓ Link91.63TransCASCADE2023-01-03
Medical Image Segmentation via Cascaded Attention Decoding✓ Link91.46PVT-CASCADE2023-01-03
SegFormer3D: an Efficient Transformer for 3D Medical Image Segmentation✓ Link90.96SegFormer3D2024-04-15
S2S2: Semantic Stacking for Robust Semantic Segmentation in Medical Imaging✓ Link90.4TransUNet2024-12-17
Swin-Unet: Unet-like Pure Transformer for Medical Image Segmentation✓ Link90.00SwinUnet2021-05-12
TransUNet: Transformers Make Strong Encoders for Medical Image Segmentation✓ Link89.71TransUNet2021-02-08
MISSFormer: An Effective Medical Image Segmentation Transformer✓ Link87.9MISSFormer2021-09-15
TransUNet: Transformers Make Strong Encoders for Medical Image Segmentation✓ Link87.57R50-ViT-CUP2021-02-08
TransUNet: Transformers Make Strong Encoders for Medical Image Segmentation✓ Link86.75R50-AttnUNet2021-02-08
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