RotU-Net: An Innovative U-Net With Local Rotation for Medical Image Segmentation
In recent years, both convolutional neural networks (CNN) and transformers have demonstrated impressive feature extraction capabilities in the field of medical image segmentation. A common approach is to utilize a combination of CNN and transformer encoders to efficiently learn both local and global...
| Main Authors: | , , , , , |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
IEEE
2024-01-01
|
| Series: | IEEE Access |
| Subjects: | |
| Online Access: | https://ieeexplore.ieee.org/document/10423629/ |