1. Hemorrhagic stroke lesion segmentation using a 3D U-Net with squeeze-and-excitation blocks;Abramova;Computerized Medical Imaging and Graphics,2021
2. CrossViT: Cross-attention multi-scale vision transformer for image classification;Chen,2021
3. TransUNet: Transformers make strong encoders for medical image segmentation;Chen,2021
4. Encoder-decoder with atrous separable convolution for semantic image segmentation;Chen,2018
5. Pay more attention to discontinuity for medical image segmentation;Chu,2020