MedImageSegmentation
Medical Image Segmentation papers.
Last update: 07/05/2022
num=8
Supervised Medical Image Segmentation
Date |
stars |
tags |
Title |
Modality |
ND |
Code |
Paper |
04/25/2022 |
⭐⭐⭐ |
hybrid CNN-Transformer/deformable-bottleneck module |
TransBTSV2: Towards Better and More Efficient Volumetric Segmentation of Medical Images |
MRI |
3D |
() |
MICCAI2021 |
03/13/2022 |
⭐⭐⭐ |
transformer/cnn/hybrid architecture |
PHTrans: Parallelly Aggregating Global and Local Representations for Medical Image Segmentation |
CT |
3D |
Pytorch |
Arxiv |
02/04/2022 |
⭐⭐⭐ |
interleaved CNN self-attention |
nnFormer: Volumetric Medical Image Segmentation via a 3D Transformer |
CT |
3D |
(https://github.com/282857341/nnFormer) |
Paper |
11/29/2021 |
⭐⭐⭐⭐ |
3D Swin Transformer/self-supervised learning |
Self-Supervised Pre-Training of Swin Transformers for 3D Medical Image Analysis |
CT |
3D |
Pytorch |
Arxiv |
05/12/2021 |
⭐⭐ |
Pure Swin-Transformer/Swin-Transformer decoder |
Swin-Unet: Unet-like Pure Transformer for Medical Image Segmentation |
CT |
3D |
(https://github.com/HuCaoFighting/Swin-Unet) |
Paper |
03/04/2021 |
⭐⭐ |
CNN/Transformer |
CoTr: Efficient 3D Medical Image Segmentation by bridging CNN and Transformer |
CT |
3D |
(https://github.com/YtongXie/CoTr) |
[MICCAI2021] |
04/11/2020 |
⭐⭐⭐ |
CNN/Loss/Auxiliary Task |
How Distance Transform Maps Boost Segmentation CNNs |
MRI/CT |
3D |
Pytorch |
MIDL2020 |
Visual Recognition
Date |
stars |
tags |
Title |
Modality |
ND |
Code |
Paper |
08/17/2021 |
⭐⭐⭐⭐⭐ |
hierarchical Transformer/shifted window |
Swin Transformer: Hierarchical Vision Transformer using Shifted Windows |
None |
2D |
(https://github.com/microsoft/Swin-Transformer) |
Paper |