EBAT: Enhanced Bidirectional and Autoregressive Transformers for Removing Hairs in Hairy Dermoscopic Images
A great progress in deep learning technologies for skin cancer detection from dermoscopic images has been made for a decade. While its performance is vulnerable to a large amount of hairs densely covering the skin surface, the existing image processing methods frequently fail to remove hairs in hair...
| Main Authors: | , |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
IEEE
2023-01-01
|
| Series: | IEEE Access |
| Subjects: | |
| Online Access: | https://ieeexplore.ieee.org/document/10041900/ |