Optical and Electronic Expert System for Diagnosing Eye Pathology in Glaucoma
Mamyrbayev O. Pavlov S. Saldan Y. Momynzhanova K. Zhumagulova S.
September 2024Multidisciplinary Digital Publishing Institute (MDPI)
Applied Sciences (Switzerland)
2024#14Issue 17
For the first time, mathematical models for evaluating biomedical images were obtained using fuzzy set methods on the basis of expert knowledge bases, thus making it possible to carry out complex qualitative diagnostics and increase the reliability and efficiency of diagnosis. A methodology for analyzing biomedical images was formed based on the fuzzy set apparatus, which allowed a fuller assessment of the level of disease for glaucoma patients. Aspects of the practical implementation of the optical–electronic system for biomedical information processing were considered. An algorithm and an optical–electronic system for biomedical image analysis are proposed, and they can be used to increase the informativeness and reliability in the diagnosis of eye pathologies and glaucoma in particular.
diagnosing eye pathology , glaucoma , optical and electronic expert system
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Laboratory of Computer Engineering of Intelligent Systems, Institute of Information and Computational Technologies, Almaty, 050010, Kazakhstan
Scientific Laboratory of Biomedical Optics and Photonics, Department of Biomedical Engineering and Optic-Electronic Department, Vinnytsia National Technical University, Vinnytsia, 21000, Ukraine
Department of Ophthalmology, National Pirogov Memorial Medical University, Vinnytsia, 21018, Ukraine
Faculty of Information Technology, Kazakh National University named after Al-Farabi, Almaty, 050038, Kazakhstan
Laboratory of Computer Engineering of Intelligent Systems
Scientific Laboratory of Biomedical Optics and Photonics
Department of Ophthalmology
Faculty of Information Technology
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