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

F1000Research

Volumn 5, Issue , 2016, Pages

  De Fauw, Jeffrey ^a   Keane, Pearse ^a,b   Tomasev, Nenad ^a   Visentin, Daniel ^a   van den Driessche, George ^a   Johnson, Mike ^a   Hughes, Cian O ^a   Chu, Carlton ^a   Ledsam, Joseph ^a   Back, Trevor ^a   Peto, Tunde ^b   Rees, Geraint ^c   Montgomery, Hugh ^d   Raine, Rosalind ^c   Ronneberger, Olaf ^a   Cornebise, Julien ^a  

^a DEEPMIND   (United Kingdom)

^b MOORFIELDS EYE HOSPITAL   (United Kingdom)

^c UNIVERSITY COLLEGE LONDON   (United Kingdom)

^d Sport and Exercise Science and Nutrition Research Centre   (United Kingdom)

Author keywords

[No Author keywords available]

Indexed keywords

AGE RELATED MACULAR DEGENERATION; ALGORITHM; ARTICLE; AUTOANALYSIS; AUTOMATION; BLINDNESS; CHRONIC DISEASE; CONTROLLED STUDY; DEMOGRAPHY; DIABETIC RETINOPATHY; DISEASE COURSE; ERROR; EYE FUNDUS; EYE PHOTOGRAPHY; HUMAN; LIGHT; MACHINE LEARNING; MONITORING; OPHTHALMOLOGY; OPTICAL COHERENCE TOMOGRAPHY; RETINA IMAGE; RETROSPECTIVE STUDY; TREATMENT RESPONSE; UNITED KINGDOM;

EID: 85010976166     PISSN: None     EISSN: 20461402     Source Type: Journal    
DOI: 10.12688/F1000RESEARCH.8996.1     Document Type: Article

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