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001-es BibID:	BIBFORM012442
Első szerző:	Antal Bálint (informatikus)
Cím:	A multi-level ensemble-based system for detecting microaneurysms in fundus images / Antal, B., Lazar, I., Hajdu, A., Torok, Z., Csutak, A., Peto, T.
Dátum:	2010
Megjegyzések:	In this paper, we present a complex approach to improve microaneurysm detection in color fundus images. Microaneurysms are early signs of diabetic retinopathy, so it is essential to detect these lesions accurately in an automatic screening system. The recommended detection of microaneurysms is realized through several levels. First, a specific combination of different preprocessing methods for candidate extractors is found. Then, we select candidates voted by a certain number of the candidate extractor algorithms. At all these levels, optimal adjustments are determined by corresponding simulated annealing algorithms. Finally, we classify the candidates with a machine-learning based approach considering an optimal feature vector selection determined by a feature subset selection algorithm. Our framework improves the positive likelihood ratio for the microaneurysms and outperforms both the state-of-the-art individual candidate extractors and microaneurysm detectors in these measures.
ISBN:	978-1-4244-7985-6
Tárgyszavak:	Műszaki tudományok Informatikai tudományok előadáskivonat utomatic screening Diabetic retinopathy Feature subset selection Feature vector selection Fundus image Likelihood ratios Machine-learning Microaneurysms Multi-level Pre-processing method Simulated annealing algorithms Algorithms Detectors Eye protection Face recognition Feature extraction Image enhancement Soft computing Simulated annealing
Megjelenés:	Soft Computing Applications (SOFA), 2010 4th International Workshop on. - p. 137-142. -
További szerzők:	Lázár István (1986-) (programtervező matematikus) Hajdu András (1973-) (matematikus, informatikus) Török Zsolt (1975-) (orvos) Csutak Adrienne (1971-) (szemész) Pető Tünde (1970-) (orvos, szemész)
Internet cím:	Intézményi repozitóriumban (DEA) tárolt változat DOI
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