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Formation features for improving the quality of medical diagnosis based on the discriminant analysis methods
N.Yu. Ilyasova, A.V. Kupriyanov, R.A. Paringer

 

Image Processing Systems Institute, Russian Academy of Sciences,
 Samara State Aerospace University

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Full text of article: Russian language.

DOI: 10.18287/0134-2452-2014-38-4-851-855

Pages: 851-855.

Abstract:
The computer diagnostic system of eye diseases is considered. To improve the quality of diagnostics we propose an algorithm for the informative features formation, using methods of discriminant analysis. The method for receiving an informtiveness estimation is described. The research confirming the efficiency of the formed features for classification of images of an fundus was conducted by means of classification by support vector machine. The algorithm possesses a sufficient level of universality and may be applied to increase the informtiveness of any feature set.

Key words:
ocular fundus, classification of the vessels images, linear discriminant analysis.

Citation:
Vasil’ev NS, Morozov AN. Substance identification by error deformed spectra. Computer Optics 2014; 38(4): 856-864. DOI: 10.18287/0134-2452-2014-38-4-856-864.

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