BioengineeringbioRxivPreprint
Deep Active Learning for Robust Biomedical Segmentation
M. Arikan, F. Sallo, A. Montesel…·W. Lilaonitkul
This paper introduces a deep active learning framework that reduces annotation needs by 39-54% while improving robustness in medical image segmentation.
DOI 10.1101/2023.03.28.534521