Statistical and neural net methods for automatic glaucoma diagnosis determination

• Authors: František Pluháček , Jaroslav Pospíšil
• Languages of publication: EN

Abstracts

EN

Two new computer diagnostic methods for the automatic determination of glaucoma diagnosis are presented and compared in this paper: the statistical method and the neural net method. Both introduced methods evaluate colour glaucomatous changes within the optic disc area. The mentioned colour changes are numerically represented using a suitable image analysis process. Next, the investigated eye is classified to three defined glaucoma-risk classes with different reliability of the diagnosis determination. The verification and the reliability comparison of both studied methods are performed by virtue of the application of this methods to a set of normal healthy optic disc images and a set of glaucomatous optic disc images.

Keywords

EN

glaucoma   diagnostics method   pallor   image analysis   statistical evaluation   87.57.Ra  

• Publisher: De Gruyter Open
• Journal: Open Physics
• Year: 2004
• Volume: 2
• Issue: 1
• Pages: 12-24

Dates

published

1 - 3 - 2004

online

1 - 3 - 2004

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Identifiers

DOI

10.2478/BF02476270