09/30/2021 |
Yunxiang Li |
GT U-Net: A U-Net Like Group Transformer Network for Tooth Root Segmentation |
X-ray & Fundus |
2D |
PyTorch |
MLMI 2021 ![arXiv](https://camo.githubusercontent.com/a52d7dc1b870ab4936f81960b7f651baa1f2a85a3737d25ad553e1ae724b3624/68747470733a2f2f696d672e736869656c64732e696f2f62616467652f61725869762d323130392e31343831332d6233316231622e737667) |
09/15/2021 |
Xiaohong Huang |
MISSFormer: An Effective Medical Image Segmentation Transformer |
CT |
2D |
N/A |
![arXiv](https://camo.githubusercontent.com/b777d0ebe33c605e49c9367dd90989c18390c8a1c32485df7247d94573ff36ae/68747470733a2f2f696d672e736869656c64732e696f2f62616467652f61725869762d323130392e30373136322d6233316231622e737667) |
09/07/2021 |
Hong-Yu Zhou |
nnFormer: Interleaved Transformer for Volumetric Segmentation |
CT |
3D |
PyTorch |
![arXiv](https://camo.githubusercontent.com/689f9e66835238c6aea62631b8480912a4d00cc270d354636a7c44a3608943ff/68747470733a2f2f696d672e736869656c64732e696f2f62616467652f61725869762d323130392e30333230312d6233316231622e737667) |
07/28/2021 |
Madeleine K. Wyburd |
TEDS-Net: Enforcing Diffeomorphisms in Spatial Transformers to Guarantee Topology Preservation in Segmentations |
MRI |
2D |
PyTorch |
MICCAI 2021 ![arXiv](https://camo.githubusercontent.com/6b73a128e634295f635211e51a7c861b1c158aedd568fa42b75457e43c5881da/68747470733a2f2f696d672e736869656c64732e696f2f62616467652f61725869762d323130372e31333534322d6233316231622e737667) |
07/19/2021 |
Guoping Xu |
LeViT-UNet: Make Faster Encoders with Transformer for Medical Image Segmentation |
CT |
2D |
N/A |
![arXiv](https://camo.githubusercontent.com/1cdc3244dd388106e12c8269b610e9a87017f24ba7150d5a350451273b21c3ee/68747470733a2f2f696d672e736869656c64732e696f2f62616467652f61725869762d323130372e30383632332d6233316231622e737667) |
07/12/2021 |
Bingzhi Chen |
TransAttUnet: Multi-level Attention-guided U-Net with Transformer for Medical Image Segmentation |
X-ray & CT ... |
2D |
N/A |
![arXiv](https://camo.githubusercontent.com/96961b9faae7c780bb606fee4a4d90b400afdf6766a2eba13b03770956d27b93/68747470733a2f2f696d672e736869656c64732e696f2f62616467652f61725869762d323130372e30353237342d6233316231622e737667) |
07/12/2021 |
Chang Yao |
TransClaw U-Net: Claw U-Net with Transformers for Medical Image Segmentation |
CT |
2D |
N/A |
![arXiv](https://camo.githubusercontent.com/c319ae27997083bfca3c37ae7c6de5848bda9e41e511a100ec15ca776e4e312d/68747470733a2f2f696d672e736869656c64732e696f2f62616467652f61725869762d323130372e30353138382d6233316231622e737667) |
07/02/2021 |
Yunhe Gao |
UTNet: A Hybrid Transformer Architecture for Medical Image Segmentation |
CT |
2D |
PyTorch (unofficial) |
MICCAI 2021 ![arXiv](https://camo.githubusercontent.com/97d3ca80322f9d8e8de0a80404046a480849327f84f2821ccb69f1508872605f/68747470733a2f2f696d672e736869656c64732e696f2f62616467652f61725869762d323130372e30303738312d6233316231622e737667) |
06/28/2021 |
Yuanfeng Ji |
Multi-Compound Transformer for Accurate Biomedical Image Segmentation |
Colonoscopy & Pathology ... |
2D |
PyTorch |
MICCAI 2021 ![arXiv](https://camo.githubusercontent.com/430760de4bc0c2e4fa44eb1c16e1a2d8a9080e49b73d481c772c5e41f79c1219/68747470733a2f2f696d672e736869656c64732e696f2f62616467652f61725869762d323130362e31343338352d6233316231622e737667) |
06/12/2021 |
Ailiang Lin |
DS-TransUNet: Dual Swin Transformer U-Net for Medical Image Segmentation |
Colonoscopy & Histology ... |
2D |
N/A |
![arXiv](https://camo.githubusercontent.com/03fe1a5810cd4bd6a363cfaac38d66e29f4e67f65112f25683733d3f3a84b61e/68747470733a2f2f696d672e736869656c64732e696f2f62616467652f61725869762d323130362e30363731362d6233316231622e737667) |
06/02/2021 |
Shaohua Li |
Medical Image Segmentation Using Squeeze-and-Expansion Transformers |
Fundus & Colonoscopy & MRI |
2D & 3D |
PyTorch |
IJCAI 2021 ![arXiv](https://camo.githubusercontent.com/31abedeb13370387085c41c4b1a62484d64d34ef735429bf48ad2e3da2f83018/68747470733a2f2f696d672e736869656c64732e696f2f62616467652f61725869762d323130352e30393531312d6233316231622e737667) |
05/12/2021 |
Hu Cao |
Swin-Unet: Unet-like Pure Transformer for Medical Image Segmentation |
CT |
2D |
PyTorch |
![arXiv](https://camo.githubusercontent.com/c1281ed9aab381b691662ddd43e66a9b5b6e8104f5572a3fad7a652fbc4b23f1/68747470733a2f2f696d672e736869656c64732e696f2f62616467652f61725869762d323130352e30353533372d6233316231622e737667) |
04/29/2021 |
Zhuangzhuang Zhang |
Pyramid Medical Transformer for Medical Image Segmentation |
Microscopic |
2D |
N/A |
![arXiv](https://camo.githubusercontent.com/8f6ecee9c954ff8a14e1cc150a5b1b16c52c5ae634402ab658efdea625f84156/68747470733a2f2f696d672e736869656c64732e696f2f62616467652f61725869762d323130342e31343730322d6233316231622e737667) |
04/28/2021 |
Eunji Jun |
Medical Transformer: Universal Brain Encoder for 3D MRI Analysis |
MRI |
3D |
N/A |
![arXiv](https://camo.githubusercontent.com/8e4c123c4a0f79a2f7701b416dec994fc5772304e9882499745c34c38ae7a58d/68747470733a2f2f696d672e736869656c64732e696f2f62616467652f61725869762d323130342e31333633332d6233316231622e737667) |
03/18/2021 |
Ali Hatamizadeh |
UNETR: Transformers for 3D Medical Image Segmentation |
CT & MRI |
3D |
PyTorch |
![arXiv](https://camo.githubusercontent.com/210db8e2d569810130ccdc406493943676731c06d4aba7a09934968473f50cea/68747470733a2f2f696d672e736869656c64732e696f2f62616467652f61725869762d323130332e31303530342d6233316231622e737667) |
03/10/2021 |
Olivier Petit |
U-Net Transformer: Self and Cross Attention for Medical Image Segmentation |
CT |
2D |
N/A |
![arXiv](https://camo.githubusercontent.com/5fc1a62bad71d40fe7723fdc854b5a286d1924808599c90d2e8a18672e44d935/68747470733a2f2f696d672e736869656c64732e696f2f62616467652f61725869762d323130332e30363130342d6233316231622e737667) |
03/07/2021 |
Wenxuan Wang |
TransBTS: Multimodal Brain Tumor Segmentation Using Transformer |
MRI |
3D |
PyTorch |
MICCAI 2021 ![arXiv](https://camo.githubusercontent.com/2b19b247ab74a3aaeac55869b10f865bacc6296c5460e0e66893a8be562ec6f2/68747470733a2f2f696d672e736869656c64732e696f2f62616467652f61725869762d323130332e30343433302d6233316231622e737667) |
03/05/2021 |
Boxiang Yun |
SpecTr: Spectral Transformer for Hyperspectral Pathology Image Segmentation |
HSI |
3D |
PyTorch |
![arXiv](https://camo.githubusercontent.com/5d4bb2843b50588cdcc2c325b1e03418930cea8b039683c4726bee89727d1209/68747470733a2f2f696d672e736869656c64732e696f2f62616467652f61725869762d323130332e30333630342d6233316231622e737667) |
03/04/2021 |
Yutong Xie |
CoTr: Efficiently Bridging CNN and Transformer for 3D Medical Image Segmentation |
CT |
3D |
PyTorch |
MICCAI 2021![arXiv](https://camo.githubusercontent.com/e286b44f79a50a4672d423637bc640e5678f26aa2f7ada6e1820e265a550896d/68747470733a2f2f696d672e736869656c64732e696f2f62616467652f61725869762d323130332e30333032342d6233316231622e737667) |
02/26/2021 |
Davood Karimi |
Convolution-Free Medical Image Segmentation using Transformers |
CT & MRI |
3D |
N/A |
![arXiv](https://camo.githubusercontent.com/2e5f4fe4665a63bea3422f469ce13ff77b0ca145ac6529de970c550e5682f4f6/68747470733a2f2f696d672e736869656c64732e696f2f62616467652f61725869762d323130322e31333634352d6233316231622e737667) |
02/21/2021 |
Jeya Maria Jose Valanarasu |
Medical Transformer: Gated Axial-Attention for Medical Image Segmentation |
Ultrasound & Microscopic |
2D |
PyTorch |
MICCAI 2021 ![arXiv](https://camo.githubusercontent.com/0bd044332bc1c3fcce4569f6612b3dfadc1e6ca5a6985832b192842dbf43befe/68747470733a2f2f696d672e736869656c64732e696f2f62616467652f61725869762d323130322e31303636322d6233316231622e737667) |
02/16/2021 |
Yundong Zhang |
TransFuse: Fusing Transformers and CNNs for Medical Image Segmentation |
Colonoscopy |
2D |
N/A |
![arXiv](https://camo.githubusercontent.com/873d52562410a1455c05e0d4c169cdd3e0177604b50c9b692dd45eb850676f5f/68747470733a2f2f696d672e736869656c64732e696f2f62616467652f61725869762d323130322e30383030352d6233316231622e737667) |
02/08/2021 |
Jieneng Chen |
TransUNet: Transformers Make Strong Encoders for Medical Image Segmentation |
CT & MRI |
2D |
PyTorch |
![arXiv](https://camo.githubusercontent.com/72ca47c3205a76d81967e20410b8a94a701db050053d7810e33ceb5cfa125a80/68747470733a2f2f696d672e736869656c64732e696f2f62616467652f61725869762d323130322e30343330362d6233316231622e737667) |