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001-es BibID:	BIBFORM039146
Első szerző:	Antal Bálint (informatikus)
Cím:	An Ensemble-Based System for Microaneurysm Detection and Diabetic Retinopathy Grading / Bálint Antal, András Hajdu
Dátum:	2012
ISSN:	0018-9294
Megjegyzések:	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 \pm 0.01 is achieved in a DR/non-DR-type classification based on the presence or absence of the microaneurysms
Tárgyszavak:	Műszaki tudományok Informatikai tudományok idegen nyelvű folyóiratközlemény külföldi lapban Diabetic retinopathy (DR) grading ensemblebased systems fundus image processing microaneurysm (MA) detection Diabetic retinopathy Digital fundus images Microaneurysms Multiple classifiers Online competition Pre-processing method Eye protection Image processing Detectors algorithm article contrast enhancement data base diabetic retinopathy disease severity false positive result microaneurysm online system sensitivity analysis Algorithms Aneurysm Diabetic Angiopathies Humans Image Enhancement Image Interpretation, Computer-Assisted Pattern Recognition, Automated Reproducibility of Results Retinal Artery Retinoscopy Sensitivity and Specificity
Megjelenés:	Ieee Transactions On Biomedical Engineering. - 59 : 6 (2012), p. 1720-1726. -
További szerzők:	Hajdu András (1973-) (matematikus, informatikus)
Internet cím:	Szerző által megadott URL DOI Intézményi repozitóriumban (DEA) tárolt változat
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