Detail publikačního výsledku

Towards automated diagnostic evaluation of retina images

H. Niemann, R. Chrastek, T. Hothorn, B. Lausen, L. Kubecka, J. Jan, G. Michelson

Originální název

Towards automated diagnostic evaluation of retina images

Anglický název

Towards automated diagnostic evaluation of retina images

Druh

Článek recenzovaný mimo WoS a Scopus

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.

Anglický 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

Klíčová slova v angličtině

retina, glaucoma, segmentation, opric disc, optic nerve head

Autoři

H. Niemann, R. Chrastek, T. Hothorn, B. Lausen, L. Kubecka, J. Jan, G. Michelson

Vydáno

01.01.2005

Nakladatel

MAIK Nauka/Interperiodica Publishing, Moscow

Místo

Moscow

ISSN

1054-6618

Periodikum

PATTERN RECOGNITION AND IMAGE ANALYSIS

Svazek

15

Číslo

2

Stát

Ruská federace

Strany od

273

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"
}