End-to-end learning to predict survival in patients with gastric cancer using convolutional neural networks

Meier, A, Nekolla, K, Earle, S et al. (6 more authors) (2018) End-to-end learning to predict survival in patients with gastric cancer using convolutional neural networks. In: Annals of Oncology. ESMO 2018, 19-23 Oct 2018, Munich, Germany. Oxford University Press , p. 23.

Metadata

Item Type: Proceedings Paper
Authors/Creators:
Keywords: gastric cancer; convolutional neural networks
Dates:
  • Published: 23 October 2018
  • Published (online): 23 October 2018
Institution: The University of Leeds
Academic Units: The University of Leeds > Faculty of Medicine and Health (Leeds)
Depositing User: Symplectic Publications
Date Deposited: 23 Sep 2019 11:31
Last Modified: 23 Sep 2019 11:31
Status: Published
Publisher: Oxford University Press
Identification Number: 10.1093/annonc/mdy269.075
Related URLs:
Open Archives Initiative ID (OAI ID):

Download not available

A full text copy of this item is not currently available from White Rose Research Online

Export

Statistics


CORE (COnnecting REpositories)