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001-es BibID:	BIBFORM029655
Első szerző:	Antal Bálint (informatikus)
Cím:	Evaluation of the grading performance of an ensemble-based microaneurysm detector / Bálint Antal, István Lázár, András Hajdu, Zsolt Török, Adrienne Csutak, Tünde Pető
Dátum:	2011
ISSN:	1557-170X
Megjegyzések:	In this paper, results of a diabetic retinopathy screening experiment are presented which is based solely on the findings of a microaneurysm detector. For this purpose, an ensemble-based algorithm developed by our research group was used; this provided promising results in our earlier experiments. At its best, the 1200 image of the Messidor database is classified by this detector with a sensitivity of 96%, a specificity of 51% and achieved an AUC of 0.87. As anticipated, larger microaneurysm counts are recognized with higher level of certainty. Therefore, this approach might be expected to have good performance in relation to the severity of the disease.
Tárgyszavak:	Műszaki tudományok Informatikai tudományok idegen nyelvű folyóiratközlemény külföldi lapban algorithm aneurysm article automated pattern recognition computer assisted diagnosis diabetic retinopathy evaluation human image enhancement methodology pathology reproducibility retina artery retinoscopy sensitivity and specificity Algorithms Aneurysm Diabetic Retinopathy Humans Image Enhancement Image Interpretation, Computer-Assisted Pattern Recognition, Automated Reproducibility of Results Retinal Artery Retinoscopy Sensitivity and Specificity
Megjelenés:	Conference proceedings : ... Annual International Conference of the IEEE Engineering in Medicine and Biology Society 2011 (2011), p. 5943-5946. -
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:	DOI Intézményi repozitóriumban (DEA) tárolt változat
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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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