Uncertainty‐aware iterative learning for noisy‐labeled medical image segmentation
Abstract Medical image segmentation from noisy labels is an important task since obtaining high‐quality annotations is extremely difficult and expensive. There are a lot of approaches proposed for such task. However, some issues like the overfitting on noisy annotations, the limited learning of boun...
| Main Authors: | , , , |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
Wiley
2023-11-01
|
| Series: | IET Image Processing |
| Subjects: | |
| Online Access: | https://doi.org/10.1049/ipr2.12900 |