Self-Path: Self-Supervision for Classification of Pathology Images With Limited Annotations
Self-Path: Self-Supervision for Classification of Pathology Images With Limited Annotations
While high-resolution pathology images lend themselves well to 'data hungry' deep learning algorithms, obtaining exhaustive annotations on these images for learning is a major challenge. In this article, we propose a self-supervised convolutional neural network (CNN) framework to leverage unlabeled data for learning generalizable and domain invariant representations in pathology …