Automated analysis of retinal imaging using machine learning techniques for computer vision [version 2; referees: 2 approved]

Automated analysis of retinal imaging using machine learning techniques for computer vision [version 2; referees: 2 approved]

There are almost two million people in the United Kingdom living with sight loss, including around 360,000 people who are registered as blind or partially sighted. Sight threatening diseases, such as diabetic retinopathy and age related macular degeneration have contributed to the 40% increase in ou...

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Bibliographic Details
Main Authors: Jeffrey De Fauw, Pearse Keane, Nenad Tomasev, Daniel Visentin, George van den Driessche, Mike Johnson, Cian O Hughes, Carlton Chu, Joseph Ledsam, Trevor Back, Tunde Peto, Geraint Rees, Hugh Montgomery, Rosalind Raine, Olaf Ronneberger, Julien Cornebise
Format: Article
Language:English
Published: F1000 Research Ltd 2017-06-01
Series:F1000Research
Subjects:
Bioinformatics
Glaucoma
Low Vision
Retinal, Vitreous & Macular Disorders
Online Access:https://f1000research.com/articles/5-1573/v2

Internet

https://f1000research.com/articles/5-1573/v2

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