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001-es BibID:	BIBFORM029658
Első szerző:	Antal Bálint (informatikus)
Cím:	A stochastic approach to improve macula detection in retinal images / B. Antal, A. Hajdu
Dátum:	2011
Megjegyzések:	In this paper, we present an approach to improve detectors used in medical image processing by fine-tuning their parameters for a certain dataset. The proposed algorithm uses a stochastic search algorithm to deal with large search spaces. We investigate the effectiveness of this approach by evaluating it on an actual clinical application. Namely, we present promising results with outperforming four state-of-the-art algorithms used for the detection of the center of the sharp vision (macula) in digital fundus images.
Tárgyszavak:	Műszaki tudományok Informatikai tudományok idegen nyelvű folyóiratközlemény hazai lapban Biomedical image processing Learning and adaptive systems Simulated annealing Bio-medical image processing Clinical application Data sets Digital fundus images Learning and adaptive system Macula detection Medical Image Processing Retinal image Search spaces State-of-the-art algorithms Stochastic approach Stochastic search algorithms Adaptive systems Algorithms Detectors Image processing Imaging systems Simulated annealing Stochastic systems Medical imaging
Megjelenés:	Acta Cybernetica. - 20 : 1 (2011), p. 5-15. -
További szerzők:	Hajdu András (1973-) (matematikus, informatikus)
Internet cím:	Intézményi repozitóriumban (DEA) tárolt változat
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