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001-es BibID:	BIBFORM033081
Első szerző:	Lázár István (programtervező matematikus)
Cím:	Microaneurysm detection in retinal images using a rotating cross-section based model / István Lázár, András Hajdu
Dátum:	2011
ISSN:	1945-7928 1945-7928
Megjegyzések:	Retinal image analysis is currently a very vivid field in biomedical image analysis. One of the most challenging tasks is the reliable automatic detection of microaneurysms (MAs). Computer systems that aid the automatic detection of diabetic retinopathy (DR) greatly rely on MA detection. In this paper, we present a method to construct an MA score map, from which the final MAs can be extracted by simple thresholding for a binary output, or by considering all the regional maxima to obtain probability scores. In contrary to most of the currently available MA detectors, the proposed one does not use any supervised training and classification. However, it is still competitive in the field, with a prominent performance in the detection of MAs close to the vasculature, regarding the state-of-the-art methods. The algorithm has been evaluated in a publicly available online challenge.
Tárgyszavak:	Természettudományok Matematika- és számítástudományok konferenciacikk microaneurysm Biomedical image processing intensity profile microaneurysm detection pattern recognition Automatic Detection Bio-medical image processing Biomedical image analysis Diabetic retinopathy Intensity profiles Microaneurysms Retinal image Retinal image analysis State-of-the-art methods Thresholding Vasculature Eye protection Image analysis Macros Medical imaging Ophthalmology Pattern recognition Detectors
Megjelenés:	Proceedings of IEEE 8th International Symposium on Biomedical Imaging. - (2011), p. 1405-1409. -
További szerzők:	Hajdu András (1973-) (matematikus, informatikus)
Internet cím:	Intézményi repozitóriumban (DEA) tárolt változat DOI
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