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...
Bewaard in:
| Hoofdauteurs: | , , |
|---|---|
| Formaat: | Artigo |
| Taal: | Inglês |
| Gepubliceerd in: |
Nature Portfolio
2022-09-01
|
| Reeks: | Scientific Reports |
| Online toegang: | https://doi.org/10.1038/s41598-022-20440-z |
| Tags: |
Geen labels, Wees de eerste die dit record labelt!
|