Journal article
Retinopathy online challenge: automatic detection of microaneurysms in digital color fundus photographs
IEEE Transactions on Medical Imaging, Vol.29(1), pp.185-195
01/2010
DOI: 10.1109/TMI.2009.2033909
PMID: 19822469
Abstract
The 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 were 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 (MN, BVG and MDA). 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.
Details
- Title: Subtitle
- Retinopathy online challenge: automatic detection of microaneurysms in digital color fundus photographs
- Creators
- Meindert Niemeijer - Department of ophthalmology & visual sciencesMichael D Abràmoff - Department of ophthalmology & visual sciencesBram Van Ginneken - Image sciences institute - University of UtrechtMichael J Cree - Department of engineeringAtsushi Mizutani - Department of intelligent image informationGwénolé Quellec - Département Image et Traitement InformationClara I Sanchez - Image sciences institute - University of UtrechtBob Zhang - Department of Electrical and Computer Engineering [Waterloo]Roberto Hornero - Biomedical engineering groupMathieu Lamard - Laboratoire de Traitement de l'Information MedicaleChisako Muramatsu - Department of intelligent image informationXiangqian Wu - School of Computer Science and Technology [Harbin]Guy Cazuguel - Département Image et Traitement InformationJane You - Department of computingAugustin Mayo - Department of statistics and operative investigationQin Li - Department of computingYuji Hatanaka - Department of electronic systems engineeringBéatrice Cochener - Laboratoire de Traitement de l'Information MedicaleChristian Roux - Département Image et Traitement InformationMaria Garcia - Biomedical engineering groupFakhri Karray - Department of Electrical and Computer Engineering [Waterloo]Hiroshi Fujita - Department of intelligent image information
- Resource Type
- Journal article
- Publication Details
- IEEE Transactions on Medical Imaging, Vol.29(1), pp.185-195
- DOI
- 10.1109/TMI.2009.2033909
- PMID
- 19822469
- NLM abbreviation
- IEEE Trans Med Imaging
- ISSN
- 0278-0062
- eISSN
- 1558-254X
- Publisher
- Institute of Electrical and Electronics Engineers
- Language
- English
- Date published
- 01/2010
- Academic Unit
- Roy J. Carver Department of Biomedical Engineering; Electrical and Computer Engineering; Ophthalmology and Visual Sciences
- Record Identifier
- 9983806393702771
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