Retinopathy Online Challenge: Automatic Detection of Microaneurysms in Digital Color Fundus Photographs

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 was compared with each...

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Bibliographic Details
Published in:IEEE transactions on medical imaging Vol. 29; no. 1; pp. 185 - 195
Main Authors: Niemeijer, Meindert, van Ginneken, Bram, Cree, Michael J, Mizutani, Atsushi, Quellec, Gwenole, Sanchez, Clara I, Zhang, Bob, Hornero, Roberto, Lamard, Mathieu, Muramatsu, Chisako, Wu, Xiangqian, Cazuguel, Guy, You, Jane, Mayo, AgustIn, Qin Li, Hatanaka, Yuji, Cochener, Beatrice, Roux, Christian, Karray, Fakhri, Garcia, MarIa, Fujita, Hiroshi, Abramoff, Michael D
Format: Journal Article
Language:English
Published: United States IEEE 01.01.2010
The Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Institute of Electrical and Electronics Engineers
Subjects:
Algorithms
Aneurysm - diagnosis
Bayes Theorem
Biomedical engineering
Biomedical imaging
Blindness
Cities and towns
Competition
Computer aided detection
computer aided diagnosis
Computer Science
Databases, Factual
Diabetes
diabetic retinopathy
Diagnostic Techniques, Ophthalmological
Engineering Sciences
False Positive Reactions
Fundus Oculi
fundus photographs
Human
Humans
On-line systems
Online
Photography - methods
retina
Retinal Diseases - diagnosis
Retinal Vessels - pathology
Retinopathy
Retinopathy Online Challenge (ROC) competition
ROC Curve
Signal and Image processing
Statistics
Systems engineering and theory
Telecommunications
USA Councils
Websites
Computer aided detection
Fundus photographs
Diabetic retinopathy
Retina
Computer aided diagnosis
ROC competition
ISSN:0278-0062, 1558-254X, 1558-254X
Online Access:Get full text
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Summary: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 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 withheld 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.
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ISSN:0278-0062
1558-254X
1558-254X
DOI:10.1109/TMI.2009.2033909