Publication 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

Type

journal article - other

Language

English

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.

Keywords

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

Authors

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

RIV year

2006

Released

1. 1. 2005

Publisher

MAIK Nauka/Interperiodica Publishing, Moscow

Location

Moscow

ISBN

1054-6618

Periodical

Pattern Recognition and Image Analysis

Year of study

15

Number

2

State

Russian Federation

Pages from

273

Pages to

276

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"
}