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001-es BibID:	BIBFORM086389
Első szerző:	Harangi Balázs (programtervező matematikus)
Cím:	Detection of the optic disc in fundus images by combining probability models / Balazs Harangi, Andras Hajdu
Dátum:	2015
ISSN:	0010-4825
Megjegyzések:	In this paper, we propose a combination method for the automatic detection of the optic disc (OD) in fundus images based on ensembles of individual algorithms. We have studied and adapted some of the state-of-the-art OD detectors and finally organized them into a complex framework in order to maximize the accuracy of the localization of the OD. The detection of the OD can be considered as a single-object detection problem. This object can be localized with high accuracy by several algorithms extracting single candidates for the center of the OD and the final location can be defined using a single majority voting rule. To include more information to support the final decision, we can use member algorithms providing more candidates which can be ranked based on the confidence ordered by the algorithms. In this case, a spatial weighted graph is defined where the candidates are considered as its nodes, and the final OD position is determined in terms of finding a maximum-weighted clique. Now, we examine how to apply in our ensemble-based framework all the accessible information supplied by the member algorithms by making them return confidence values for each image pixel. These confidence values inform us about the probability that a given pixel is the center point of the object. We apply axiomatic and Bayesian approaches, as in the case of aggregation of judgments of experts in decision and risk analysis, to combine these confidence values. According to our experimental study, the accuracy of the localization of OD increases further. Besides single localization, this approach can be adapted for the precise detection of the boundary of the OD. Comparative experimental results are also given for several publicly available datasets.
Tárgyszavak:	Műszaki tudományok Informatikai tudományok idegen nyelvű folyóiratközlemény külföldi lapban folyóiratcikk
Megjelenés:	Computers in Biology and Medicine. - 65 (2015), p. 10-24. -
További szerzők:	Hajdu András (1973-) (matematikus, informatikus)
Pályázati támogatás:	TÁMOP-4.2.2.C-11/1/KONV-2012-0001 TÁMOP TÁMOP-4.2.4.A/2-11/1-2012-0001 TÁMOP
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001-es BibID:	BIBFORM055920
Első szerző:	Harangi Balázs (programtervező matematikus)
Cím:	Automatic exudate detection by fusing multiple active contours and regionwise classification / Balazs Harangi, Andras Hajdu
Dátum:	2014
ISSN:	0010-4825
Tárgyszavak:	Természettudományok Matematika- és számítástudományok idegen nyelvű folyóiratközlemény külföldi lapban
Megjelenés:	Computers In Biology And Medicine. - 54 (2014), p. 156-171. -
További szerzők:	Hajdu András (1973-) (matematikus, informatikus)
Internet cím:	Szerző által megadott URL DOI Intézményi repozitóriumban (DEA) tárolt változat
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001-es BibID:	BIBFORM062231
Első szerző:	Lázár István (programtervező matematikus)
Cím:	Segmentation of retinal vessels by means of directional response vector similarity and region growing / István Lázár, András Hajdu
Dátum:	2015
ISSN:	0010-4825
Megjegyzések:	This paper presents a novel retinal vessel segmentation method. Opposed to the general approach in similar directional methods,where only the maximal or summed responses of a pixel are used, here, the directional responses of a pixel are considered as a vector. The segmentation method is a unique region growing procedure which combines a hysteresis thresholding scheme with the response vector similarity of adjacent pixels. Avessel score map is constructed as the combination of the statistical measures of the response vectorsand its local maxima to provide the seeds for the region growing procedure. Anearest neighbor classifier based on a rotation invariant response vector similarity measure is used to filter the seed points. Many techniques in the literature that capture the Gaussian-like cross-section of vessels suffer from the drawback of giving false high responses to the steep intensity transitions at the boundary of the optic disc and bright lesions. To overcome this issue, we also propose a symmetry constrained multiscale matched filtering technique. The proposedvessel segmentationmethod has been tested on threepublicly available image sets, where its performance proved to be competitive with the state-of-the-art and comparable to the accuracy of a human observer, as well.
Tárgyszavak:	Műszaki tudományok Informatikai tudományok idegen nyelvű folyóiratközlemény külföldi lapban Retinal image analysis vessel segmentation directional filters multiscale matched filtering directional response similarity Testreszabható tartalomkezelő eljárások
Megjelenés:	Computers In Biology And Medicine. - 66 (2015), p. 209-221. -
További szerzők:	Hajdu András (1973-) (matematikus, informatikus)
Pályázati támogatás:	TÁMOP-4.2.2.C-11/1/KONV-2012-0001 TÁMOP Kollaborációs adatbányászati keretrendszer kialakítása NK101680 OTKA
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