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dc.contributor.authorNiemeijer, Meindert
dc.contributor.authorvan Ginneken, Bram
dc.contributor.authorCree, Michael J.
dc.contributor.authorMizutani, Atsushi
dc.contributor.authorQuellec, Gwenole
dc.contributor.authorSanchez, Clara I.
dc.contributor.authorZhang, Bob
dc.contributor.authorHornero, Roberto
dc.contributor.authorLamard, Mathieu
dc.contributor.authorMuramatsu, Chisako
dc.contributor.authorWu, Xiangqian
dc.contributor.authorCazuguel, Guy
dc.contributor.authorYou, Jane
dc.contributor.authorMayo, Agustin
dc.contributor.authorLi, Qin
dc.contributor.authorHatanaka, Yuji
dc.contributor.authorCochener, Beatrice
dc.contributor.authorRoux, Christian
dc.contributor.authorKarray, Fakhri
dc.contributor.authorGarcia, Maria
dc.contributor.authorFujita, Hiroshi
dc.contributor.authorAbramoff, Michael D.
dc.coverage.spatialUnited Statesen_NZ
dc.date.accessioned2010-02-25T03:46:42Z
dc.date.available2010-02-25T03:46:42Z
dc.date.issued2010
dc.identifier.citationNiemeijer, M., van Ginneken, B., Cree, M. J., Mizutani, A., Quellec, G., ... , Abramoff, M. D. (2010). Retinopathy online challenge: Automatic detection of microaneurysms in digital color fundus photographs. IEEE Transactions on Medical Imaging, 29(1), 185-195.en
dc.identifier.urihttps://hdl.handle.net/10289/3644
dc.description.abstractThe detection of microaneurysms in digital color fundus photographs is a critical first step in automated screening for diabetic retinopathy (DR), a common complication of diabetes. To accomplish this detection numerous methods have been published in the past but none of these was compared with each other on the same data. In this work we present the results of the first international microaneurysm detection competition, organized in the context of the Retinopathy Online Challenge (ROC), a multiyear online competition for various aspects of DR detection. For this competition, we compare the results of five different methods, produced by five different teams of researchers on the same set of data. The evaluation was performed in a uniform manner using an algorithm presented in this work. The set of data used for the competition consisted of 50 training images with available reference standard and 50 test images where the reference standard was witheld by the organizers (M. Niemeijer, B. van Ginneken, and M. D. AbrA¿moff). The results obtained on the test data was submitted through a website after which standardized evaluation software was used to determine the performance of each of the methods. A human expert detected microaneurysms in the test set to allow comparison with the performance of the automatic methods. The overall results show that microaneurysm detection is a challenging task for both the automatic methods as well as the human expert. There is room for improvement as the best performing system does not reach the performance of the human expert. The data associated with the ROC microaneurysm detection competition will remain publicly available and the website will continue accepting submissions.en
dc.format.mimetypeapplication/pdf
dc.language.isoen
dc.publisherIEEEen_NZ
dc.relation.urihttp://ieeexplore.ieee.org/xpl/freeabs_all.jsp?arnumber=5282586&abstractAccess=no&userType=insten
dc.rights©2010 IEEE. Personal use of this material is permitted. However, permission to reprint/republish this material for advertising or promotional purposes or for creating new collective works for resale or redistribution to servers or lists, or to reuse any copyrighted component of this work in other works must be obtained from the IEEE.en
dc.subjectcomputer aided detectionen
dc.subjectcomputer aideden
dc.subjectdiagnosisen
dc.subjectdiabetic retinopathyen
dc.subjectfundus photographsen
dc.subjectretinaen
dc.subjectRetinopathy Online Challenge (ROC) competitionen
dc.titleRetinopathy online challenge: Automatic detection of microaneurysms in digital color fundus photographsen
dc.typeJournal Articleen
dc.identifier.doi10.1109/TMI.2009.2033909en
dc.relation.isPartOfIEEE Transactions on Medical Imagingen_NZ
pubs.begin-page185en_NZ
pubs.elements-id34649
pubs.end-page195en_NZ
pubs.issue1en_NZ
pubs.volume29en_NZ
uow.identifier.article-no1en_NZ


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