Transformer and group parallel axial attention co-encoder for medical image segmentation
Abstract U-Net has become baseline standard in the medical image segmentation tasks, but it has limitations in explicitly modeling long-term dependencies. Transformer has the ability to capture long-term relevance through its internal self-attention. However, Transformer is committed to modeling the...
| Published in: | Scientific Reports |
|---|---|
| Main Authors: | , , |
| Format: | Article |
| Language: | English |
| Published: |
Nature Portfolio
2022-09-01
|
| Online Access: | https://doi.org/10.1038/s41598-022-20440-z |