Deep neural networks integrating genomics and histopathological images for predicting stages and survival time-to-event in colon cancer

Ogundipe, O., Kurt, Z. orcid.org/0000-0003-3186-8091 and Woo, W.L. (2024) Deep neural networks integrating genomics and histopathological images for predicting stages and survival time-to-event in colon cancer. PLOS ONE, 19 (9). e0305268. ISSN 1932-6203

Abstract

Metadata

Item Type: Article
Authors/Creators:
Editors:
  • Adeoye, J.
Copyright, Publisher and Additional Information:

© 2024 Ogundipe et al. This is an open access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited. http://creativecommons.org/licenses/by/4.0/

Keywords: Cancer genomics; Breast cancer; Colorectal cancer; Cancers and neoplasms; Gastrointestinal cancers; Cancer treatment; Genomics; Lung and intrathoracic tumors
Dates:
  • Published: 3 September 2024
  • Published (online): 3 September 2024
  • Accepted: 26 May 2024
  • Submitted: 15 September 2023
Institution: The University of Sheffield
Academic Units: The University of Sheffield > Faculty of Social Sciences (Sheffield) > Information School (Sheffield)
Depositing User: Symplectic Sheffield
Date Deposited: 04 Sep 2024 10:55
Last Modified: 04 Sep 2024 10:55
Status: Published
Publisher: Public Library of Science (PLoS)
Refereed: Yes
Identification Number: 10.1371/journal.pone.0305268
Related URLs:
Open Archives Initiative ID (OAI ID):

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