Automatic choroid layer segmentation from optical coherence tomography images using deep learning

Masood, S., Fang, R., Li, P. et al. (8 more authors) (2019) Automatic choroid layer segmentation from optical coherence tomography images using deep learning. Scientific Reports, 9 (1). 3058.

Abstract

Metadata

Authors/Creators:
Copyright, Publisher and Additional Information: © 2019 The Author(s). This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made (http://creativecommons.org/licenses/by/4.0/).
Dates:
  • Accepted: 21 January 2019
  • Published (online): 28 February 2019
  • Published: December 2019
Institution: The University of Sheffield
Academic Units: The University of Sheffield > Faculty of Engineering (Sheffield) > Department of Computer Science (Sheffield)
Depositing User: Symplectic Sheffield
Date Deposited: 25 Sep 2019 09:35
Last Modified: 25 Sep 2019 09:35
Status: Published
Publisher: Springer Nature
Refereed: Yes
Identification Number: https://doi.org/10.1038/s41598-019-39795-x
Related URLs:

Share / Export

Statistics