2020
Contrastive learning of global and local features for medical image segmentation with limited annotations
NeurIPS 2020oral
A key requirement for the success of supervised deep learning is a large labeled dataset - a condition that is difficult to meet in medical image analysis. Self-supervised learning (SSL) can help in this regard by providing a strategy to pre-train a neural network with unlabeled data, followed by fi…