Weakly supervised classification of aortic valve malformations using unlabeled cardiac MRI sequences

Abstract

The availability of labelled training data is one of the practical obstacles towards wide application of machine learning models in medicine. Here the authors develop a weakly supervised deep learning model for the classification of aortic malformations using unlabelled cardiac MRI sequences from the UK biobank.