Abstract
The increasing availability of digitized data and the success of deep learning algorithms have led to these models being increasingly used in medical image analysis. One difficulty, however, that frequently arises in this type of application is the difficulty in obtaining a large amount of annotated data. This has recently led to a growing interest in the self-supervised learning approach…