Automatic assessment of glioma burden: a deep learning algorithm for fully automated volumetric and bidimensional measurement

Abstract

Our automated algorithm demonstrates potential utility for evaluating tumor burden in complex posttreatment settings, although further validation in multicenter clinical trials will be needed prior to widespread implementation.