Crowdsourcing as a Novel Technique for Retinal Fundus Photography Classification: Analysis of Images in the EPIC Norfolk Cohort on Behalf of the UKBiobank Eye and Vision Consortium

PLoS ONE

Volumn 8, Issue 8, 2013, Pages

  Mitry, Danny ^a   Peto, Tunde ^a   Hayat, Shabina ^b   Morgan, James E ^c   Khaw, Kay Tee ^b   Foster, Paul J ^a  

^a UNIVERSITY COLLEGE LONDON   (United Kingdom)

^b UNIVERSITY OF CAMBRIDGE   (United Kingdom)

^c CARDIFF UNIVERSITY   (United Kingdom)

Author keywords

[No Author keywords available]

Indexed keywords

ACCURACY; AREA UNDER THE CURVE; ARTICLE; CLASSIFICATION; CONTROLLED STUDY; CROWDSOURCING; EYE FUNDUS; EYE PHOTOGRAPHY; HUMAN; IMAGE ANALYSIS; IMAGE QUALITY; KNOWLEDGE WORKER; SENSITIVITY AND SPECIFICITY; WORKER;

ADULT; AGED; AGED, 80 AND OVER; AREA UNDER CURVE; BIOLOGICAL SPECIMEN BANKS; COST-BENEFIT ANALYSIS; CROWDSOURCING; DIABETIC RETINOPATHY; DIAGNOSTIC TECHNIQUES, OPHTHALMOLOGICAL; FUNDUS OCULI; GREAT BRITAIN; HUMANS; MIDDLE AGED; OBSERVER VARIATION; PHOTOGRAPHY; QUESTIONNAIRES; REPRODUCIBILITY OF RESULTS; RETINAL DISEASES; ROC CURVE; SEVERITY OF ILLNESS INDEX;

EID: 84882634078     PISSN: None     EISSN: 19326203     Source Type: Journal    
DOI: 10.1371/journal.pone.0071154     Document Type: Article

References (16)

1. Raddick MJ, Bracey G, Lintott CJ, Cardamone C, Murray Pet al. (2013 March) Galaxy Zoo: Motivations of Citizen Scientists. arXiv: 1303.6886.
2. Eiben CB, Siegel JB, Bale JB, Cooper S, Khatib F, et al. (2012) Increased Diels-Alderase activity through backbone remodeling guided by Foldit players. Nat Biotechnol 30: 190-192.
3. Lessl M, Bryans JS, Richards D, Asadullah K, (2011) Crowd sourcing in drug discovery. Nat Rev Drug Discov 10: 241-242.
4. Nguyen TB, Wang S, Anugu V, Rose N, McKenna M, et al. (2012) Distributed human intelligence for colonic polyp classification in computer-aided detection for CT colonography. Radiology 262: 824-833.
5. Turner AM, Kirchhoff K, Capurro D, (2012) Using crowdsourcing technology for testing multilingual public health promotion materials. J Med Internet Res 14: e79.
6. Mavandadi S, Dimitrov S, Feng S, Yu F, Sikora U, et al. (2012) Distributed medical image analysis and diagnosis through crowd-sourced games: a malaria case study. PLoS One 7: e37245.
7. Khawaja AP, Chan MP, Hayat S, Broadway DC, Luben R, et al. (2013) The EPIC-Norfolk Eye Study: rationale, methods and a cross-sectional analysis of visual impairment in a population-based cohort. BMJ Open 3.
8. Diabetic retinopathy study. Report Number 6. Design, methods, and baseline results. Report Number 7. A modification of the Airlie House classification of diabetic retinopathy (1981) Prepared by the Diabetic Retinopathy Study Group. Invest Ophthalmol Vis Sci 21: 1-226.
9. Buhrmester M, Kwang T, Gosling SD (2011) Amazon's Mechanical Turk: A New Source of Inexpensive, Yet High-Quality, Data? Perspectives on Psychological Science 6. 10.1177/1745691610393980.
10. Sinclair SH, (2006) Diabetic retinopathy: the unmet needs for screening and a review of potential solutions. Expert Rev Med Devices 3: 301-313.
11. Sanchez CI, Niemeijer M, Dumitrescu AV, Suttorp-Schulten MS, Abramoff MD, et al. (2011) Evaluation of a computer-aided diagnosis system for diabetic retinopathy screening on public data. Invest Ophthalmol Vis Sci 52: 4866-4871.
12. Abramoff MD, Reinhardt JM, Russell SR, Folk JC, Mahajan VB, et al. (2010) Automated early detection of diabetic retinopathy. Ophthalmology 117: 1147-1154.
13. Kankanahalli S, Burlina PM, Wolfson Y, Freund DE, Bressler NM (2013) Automated Classification of Severity of Age-related Macular Degeneration from Fundus Photographs. Invest Ophthalmol Vis Sci.
14. Chiang MF, Wang L, Busuioc M, Du YE, Chan P, et al. (2007) Telemedical retinopathy of prematurity diagnosis: accuracy, reliability, and image quality. Arch Ophthalmol 125: 1531-1538.
15. Niemeijer M, van GB, Russell SR, Suttorp-Schulten MS, Abramoff MD, (2007) Automated detection and differentiation of drusen, exudates, and cotton-wool spots in digital color fundus photographs for diabetic retinopathy diagnosis. Invest Ophthalmol Vis Sci 48: 2260-2267.
16. Ford DV, Jones KH, Verplancke JP, Lyons RA, John G, et al. (2009) The SAIL Databank: building a national architecture for e-health research and evaluation. BMC Health Serv Res 9: 157.