arXiv cs.CV
· Papers
Unifying Active Learning and Semi-Supervised Learning for Medical Image Segmentation
arXiv:2607.25014v1 Announce Type: new Abstract: In practical settings, medical image segmentation models are often developed with limited annotated data rather than fully labeled datasets. Training frequently begins in ultra-low labeled regimes where only a small number of volumes are annotated. In such scenarios, prac