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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