Publication detail

Towards automated diagnostic evaluation of retina images

NIEMANN, H., CHRASTEK, R., HOTHORN, T., LAUSEN, B., KUBECKA, L., JAN, J., MICHELSON, G

Original Title

Towards automated diagnostic evaluation of retina images

Czech Title

Automatické vyhodnocování obrazů sítnice

English Title

Towards automated diagnostic evaluation of retina images

Type

conference paper

Language

en

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

Czech abstract

automatická segmentace očního nervu

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

Keywords

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

RIV year

2005

Released

01.01.2005

Publisher

MAIK Nauka Interperiodica Publishing, Moscow

Location

St. Petersburg

Pages from

101

Pages to

106

Pages count

6

BibTex


@inproceedings{BUT15169,
  author="Radim {Chrástek} and Libor {Kubečka} and Jiří {Jan}",
  title="Towards automated diagnostic evaluation of retina images",
  annote="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",
  address="MAIK Nauka Interperiodica Publishing, Moscow",
  booktitle="Proceed. of the 7th International Conference on Pattern Recognition and Image Analysis: New Information Technologies Conferrence (PRIA-7-2004)",
  chapter="15169",
  institution="MAIK Nauka Interperiodica Publishing, Moscow",
  number="1",
  year="2005",
  month="january",
  pages="101",
  publisher="MAIK Nauka Interperiodica Publishing, Moscow",
  type="conference paper"
}