Self-Supervised Learning for Annotation Efficient Biomedical Image Segmentation.
Journal:
IEEE transactions on bio-medical engineering
PMID:
37028023
Abstract
OBJECTIVE: The scarcity of high-quality annotated data is omnipresent in machine learning. Especially in biomedical segmentation applications, experts need to spend a lot of their time into annotating due to the complexity. Hence, methods to reduce such efforts are desired.