Detection of optics disc glaucoma damages using image analysis and artifical neural net
1.
SYSNO ASEP
0100107
Document Type
C - Proceedings Paper (int. conf.)
R&D Document Type
Conference Paper
Title
Detection of optics disc glaucoma damages using image analysis and artifical neural net
Title
Detekce glaukomových změn slepé skvrny užitím obrazové analýzy a umělé neuronové sítě
Author(s)
Pluháček, F. (CZ) Pospíšil, Jaroslav (FZU-D) Kuběna, T. (CZ) Marešová, K. (CZ)
Source Title
Novel Optical Instrumentation for Biomedical Applications. - Washington : SPIE The International Society for Optical Engineering, 2003 / Boccara A.C.
- ISSN 1605-7422
- ISBN 0-8194-5013-8
Pages
s. 240-249
Number of pages
10 s.
Action
Novel Optical Instrumentation for Biomedical Applications
Event date
24.06.2003-25.06.2003
VEvent location
Munich
Country
DE - Germany
Event type
WRD
Language
eng - English
Country
US - United States
Keywords
glaucoma ; image analysis ; statistical evaluation ; neural net ; visual field
Subject RIV
BH - Optics, Masers, Lasers
CEZ
AV0Z1010921 - FZU-D
Annotation
A new method of the optic disc glaucomatous damage detection and the diagnosis determination is presented in this paper. This method is based on the measurement of the relative size of the representative pallor area on the colour digital optic disc image and its evaluation using a statistical method and computer-simulated artificial neural net
