DeepSurvNet: deep survival convolutional network for brain cancer survival rate classification based on histopathological images.

Histopathological whole slide images of haematoxylin and eosin (H&E)-stained biopsies contain valuable information with relation to cancer disease and its clinical outcomes. Still, there are no highly accurate automated methods to correlate histolopathological images with brain cancer patients' surv...

Full description

Bibliographic Details

Published in:	Medical & Biological Engineering & Computing Vol. 58; no. 5; pp. 1031 - 1046
Main Authors:	Zadeh Shirazi, Amin, Fornaciari, Eric, Bagherian, Narjes Sadat, Ebert, Lisa M., Koszyca, Barbara, Gomez, Guillermo A.
Format:	Journal Article
Published:	Springer Nature May2020
Online Access:	View this record in EBSCOhost