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Detail publikace
H. Niemann, R. Chrastek, T. Hothorn, B. Lausen, L. Kubecka, J. Jan, G. Michelson
Originální název
Towards automated diagnostic evaluation of retina images
Typ
článek v časopise - ostatní, Jost
Jazyk
angličtina
Originální abstrakt
In this paper we address automatic segmentation of the optic nerve head (ONH) with the long-term goal of automatic diagnosis of the early stages of glaucoma. The images discussed are average images obtained from a scanning laser ophthalmoscope (SLO). The segmentation consists of the following main steps: finding a region of interest containing the ONH, constraining the search space for final segmentation, and computing the fine segmentation by an active contour model. The agreement of “true positive pixels,” i.e., pixels attributed to the ONH by both manual and automatic segmentation, is very good. The classification results obtained from three different classifiers using manual or automatic segmentation still reveal the superiority of manual segmentation. One means to further improve automatic segmentation is to use information from an SLO as well as from a fundus camera.
Klíčová slova
retina, glaucoma, segmentation, opric disc, optic nerve head
Autoři
Rok RIV
2006
Vydáno
1. 1. 2005
Nakladatel
MAIK Nauka/Interperiodica Publishing, Moscow
Místo
Moscow
ISSN
1054-6618
Periodikum
Pattern Recognition and Image Analysis
Ročník
15
Číslo
2
Stát
Ruská federace
Strany od
273
Strany do
276
Strany počet
4
URL
http://www.maik.rssi.ru/cgi-bin/journal.pl?name=patrec&page=main
BibTex
@article{BUT46311, author="Radim {Chrástek} and Libor {Kubečka} and Jiří {Jan}", title="Towards automated diagnostic evaluation of retina images", journal="Pattern Recognition and Image Analysis ", year="2005", volume="15", number="2", pages="4", issn="1054-6618", url="http://www.maik.rssi.ru/cgi-bin/journal.pl?name=patrec&page=main" }