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IMAGE PROCESSING, PATTERN RECOGNITION
Formation features for improving the quality of medical diagnosis based on the discriminant analysis methods
N. Ilyasovaab, A. V. Kupriyanovab, A. P. Rustamab a Samara State Aerospace University
b Image Processing Systems Institute, Russian Academy of Sciences
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.
Keywords:
ocular fundus, classification of the vessels images, linear discriminant analysis.
Received: 08.09.2014
Citation:
N. Ilyasova, A. V. Kupriyanov, A. P. Rustam, “Formation features for improving the quality of medical diagnosis based on the discriminant analysis methods”, Computer Optics, 38:4 (2014), 851–855
Linking options:
https://www.mathnet.ru/eng/co200 https://www.mathnet.ru/eng/co/v38/i4/p851
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Abstract page: | 256 | Full-text PDF : | 112 | References: | 33 |
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