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Automated analysis of retinal imaging using machine learning techniques for computer vision

Crossref DOI link: https://doi.org/10.12688/f1000research.8996.2

Published Online: 2017-06-22

Update policy: https://doi.org/10.12688/f1000research.crossmark-policy

Authors

De Fauw, Jeffrey

Keane, Pearse

Tomasev, Nenad

Visentin, Daniel

van den Driessche, George

Johnson, Mike

Hughes, Cian O https://orcid.org/0000-0001-6901-0985
Chu, Carlton

Ledsam, Joseph

Back, Trevor

Peto, Tunde

Rees, Geraint

Montgomery, Hugh

Raine, Rosalind

Ronneberger, Olaf

Cornebise, Julien
Funding

Funding for this research was provided by:

DeepMind
License Information

License valid from 2017-06-22
More Information

Current Referee Status

Referee status: Indexed

Article Reports

Referee Report: https://doi.org/10.5256/f1000research.9679.r15056, Yit C. Yang, Royal Wolverhampton NHS Trust, Wolverhampton, UK, 19 Jul 2016, version 1, indexed

Referee Report: https://doi.org/10.5256/f1000research.9679.r14781, Sandrine Zweifel, Department of Ophthalmology, University Hospital Zürich, Zürich, Switzerland, 10 Oct 2016, version 1, indexed

Grant Information: DeepMind is funding the research.

Copyright: This is an open access article distributed under the terms of the Creative Commons Attribution Licence, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.