Journal
IEEE TRANSACTIONS ON BIOMEDICAL ENGINEERING
Volume 59, Issue 6, Pages 1720-1726Publisher
IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC
DOI: 10.1109/TBME.2012.2193126
Keywords
Diabetic retinopathy (DR) grading; ensemble-based systems; fundus image processing; microaneurysm (MA) detection
Categories
Funding
- Hungarian Academy of Sciences
- National Office for Research and Technology of Hungary [OM-00194/2008, OM-00195/2008, OM-00196/2008]
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Reliable microaneurysm detection in digital fundus images is still an open issue in medical image processing. We propose an ensemble-based framework to improve microaneurysm detection. Unlike the well-known approach of considering the output of multiple classifiers, we propose a combination of internal components of microaneurysm detectors, namely preprocessing methods and candidate extractors. We have evaluated our approach for microaneurysm detection in an online competition, where this algorithm is currently ranked as first, and also on two other databases. Since microaneurysm detection is decisive in diabetic retinopathy (DR) grading, we also tested the proposed method for this task on the publicly available Messidor database, where a promising AUC 0.90+/-0.01 is achieved in a DR/non-DR-type classification
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