Publication detail

Towards automated diagnostic evaluation of retina imagess

H.Niemann,R.Chrastek,B.Lausen,L.Kubečka,J.Jan,C.Y. Mardin,G.Michelson

Original Title

Towards automated diagnostic evaluation of retina imagess

Type

journal article - other

Language

English

Original Abstract

In this paper we describe the automatic segmentation of the optic nerve head (ONH) with the longterm goal of automatically diagnosing early stages of glaucoma. The images are average images obtained from a scanning laser ophthalmoscope (SLO). The segmentation consists of the main steps of 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 from three different classifiers using manual or automatic segmentation still show an advantage of manual segmentation. One means to further improve the automatic segmentation is to use information from an SLO as well as from a fundus camera.

Key words in English

retinal images, image segmentation, image recognition

Authors

H.Niemann,R.Chrastek,B.Lausen,L.Kubečka,J.Jan,C.Y. Mardin,G.Michelson

RIV year

2006

Released

1. 1. 2006

Publisher

Springer

ISBN

1054-6618

Periodical

Pattern Recognition and Image Analysis

Year of study

2006

Number

4

State

Russian Federation

Pages from

671

Pages to

676

Pages count

6

URL

v knihovně UBMI

BibTex

@article{BUT44014,
  author="Radim {Chrástek} and Libor {Kubečka} and Jiří {Jan}",
  title="Towards automated diagnostic evaluation of retina imagess",
  journal="Pattern Recognition and Image Analysis
",
  year="2006",
  volume="2006",
  number="4",
  pages="6",
  issn="1054-6618",
  url="v knihovně UBMI"
}