Medical Image Segmentation papers.
Last update: 07/05/2022
num=8
| 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 |
| 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 |