Detail publikačního výsledku

Optic Nerve Head Segmentation in Multimodal Retinal Images

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

Originální název

Optic Nerve Head Segmentation in Multimodal Retinal Images

Anglický název

Optic Nerve Head Segmentation in Multimodal Retinal Images

Druh

Stať ve sborníku v databázi WoS či 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, scanning-laser-tomography, color fundus photograph, registration, segmentation, active contours

Klíčová slova v angličtině

retina, glaucoma, scanning-laser-tomography, color fundus photograph, registration, segmentation, active contours

Autoři

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

Vydáno

01.01.2005

Nakladatel

MAIK Nauka Interperiodica Publishing Moscow

Místo

St. Petersburg

Kniha

Proceed. of the 7th International Conference on Pattern Recognition and Image Analysis: New Information Technologies Conferrence (PRIA-7-2004)

Číslo

1

Strany od

101

Strany počet

6

BibTex

@inproceedings{BUT14719,
  author="Radim {Chrástek} and Libor {Kubečka} and Jiří {Jan}",
  title="Optic Nerve Head Segmentation in Multimodal Retinal Images",
  booktitle="Proceed. of the 7th International Conference on Pattern Recognition and Image Analysis: New Information Technologies Conferrence (PRIA-7-2004)",
  year="2005",
  number="1",
  pages="6",
  publisher="MAIK Nauka Interperiodica Publishing Moscow",
  address="St. Petersburg"
}