期刊
PATTERN RECOGNITION
卷 45, 期 1, 页码 264-270出版社
ELSEVIER SCI LTD
DOI: 10.1016/j.patcog.2011.06.010
关键词
Biomedical imaging processing; Automatic screening systems; Pattern recognition; Ensemble learning
资金
- Hungarian Academy of Sciences
- National Office for Research and Technology of Hungary [OM-00194/2008, OM-00195/2008, OM-00196/2008]
In this paper, we present an approach to improve microaneurysm detection in digital color fundus images. Instead of following the standard process which considers preprocessing, candidate extraction and classification, we propose a novel approach that combines several preprocessing methods and candidate extractors before the classification step. We ensure high flexibility by using a modular model and a simulated annealing-based search algorithm to find the optimal combination. Our experimental results show that the proposed method outperforms the current state-of-the-art individual microaneurysm candidate extractors. (C) 2011 Elsevier Ltd. All rights reserved.
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