no code implementations • 19 Sep 2019 • Saima Rathore, Muhammad Aksam Iftikhar, Zissimos Mourelatos
In this paper, we developed a computational approach based on deep learning to predict the overall survival and molecular subtypes of glioma patients from microscopic images of tissue biopsies, reflecting measures of microvascular proliferation, mitotic activity, nuclear atypia, and the presence of necrosis.