Convolutional neural network-based clinical predictors of oral dysplasia: class activation map analysis of deep learning results

Camalan, S., Mahmood, H. orcid.org/0000-0001-7159-0368, Binol, H. et al. (6 more authors) (2021) Convolutional neural network-based clinical predictors of oral dysplasia: class activation map analysis of deep learning results. Cancers, 13 (6). 1291. ISSN 2072-6694

Abstract

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Copyright, Publisher and Additional Information: © 2021 by the authors. Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (https://creativecommons.org/licenses/by/4.0/).
Keywords: oral epithelial dysplasia; oral cancer; squamous cell carcinoma; leucoplakia; erythroplakia; transfer learning; deep learning; class activation map analysis
Dates:
  • Accepted: 10 March 2021
  • Published (online): 14 March 2021
  • Published: 14 March 2021
Institution: The University of Sheffield
Academic Units: The University of Sheffield > Faculty of Medicine, Dentistry and Health (Sheffield) > School of Dentistry (Sheffield)
Depositing User: Symplectic Sheffield
Date Deposited: 26 Mar 2021 17:28
Last Modified: 26 Mar 2021 17:28
Status: Published
Publisher: MDPI AG
Refereed: Yes
Identification Number: https://doi.org/10.3390/cancers13061291
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