Detail publikačního výsledku

Towards automated diagnostic evaluation of retina imagess

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

Originální název

Towards automated diagnostic evaluation of retina imagess

Anglický název

Towards automated diagnostic evaluation of retina imagess

Druh

Článek recenzovaný mimo WoS a Scopus

Originální abstrakt

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.

Anglický abstrakt

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.

Klíčová slova v angličtině

retinal images, image segmentation, image recognition

Autoři

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

Vydáno

01.01.2006

Nakladatel

Springer

ISSN

1054-6618

Periodikum

PATTERN RECOGNITION AND IMAGE ANALYSIS

Svazek

2006

Číslo

4

Stát

Ruská federace

Strany od

671

Strany počet

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"
}