Publication result detail

Towards automated diagnostic evaluation of retina images

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

Original Title

Towards automated diagnostic evaluation of retina images

English Title

Towards automated diagnostic evaluation of retina images

Type

Peer-reviewed article not indexed in WoS or Scopus

Original Abstract

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.

English abstract

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.

Keywords

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

Key words in English

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

Authors

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

Released

01.01.2005

Publisher

MAIK Nauka/Interperiodica Publishing, Moscow

Location

Moscow

ISBN

1054-6618

Periodical

PATTERN RECOGNITION AND IMAGE ANALYSIS

Volume

15

Number

2

State

Russian Federation

Pages from

273

Pages count

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"
}