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RESEARCH OF MATHEMATICAL MODELS AND ALGORITHMS OF NEURAL NETWORK RECOGNITION AND COGNITIVE VISUALIZATION OF AREAS OF INTEREST BASED ON THE ANALYSIS OF MEDICAL RADIOLOGICAL INFORMATION

Veselov D.   (Financial University under the Government of the Russian Federation Moscow, Russia )

The study demonstrates an overview of the methods of recognition and mathematical modeling of diseases. First, scientific research on the diagnostics of pathologies and areas of interest is considered based on deep learning methods and neural network technologies. At the second stage, the issues of radiological medical information, visualization of MRI images, and diagnostics of brain diseases using neural network technologies are investigated. The final part of the study is devoted to the research of methods of mathematical modeling and cerebral hemodynamics, as well as the combination of deep learning methods with the mathematical apparatus of computational hemodynamics. Based on the analysis of open sources, a conclusion is made on the current state of the presented problem area.

Keywords:cerebral hemodynamics, mathematical model, artificial neural network, deep learning, cognitive visualization, hydrodynamic model
 

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Citation link:
Veselov D. RESEARCH OF MATHEMATICAL MODELS AND ALGORITHMS OF NEURAL NETWORK RECOGNITION AND COGNITIVE VISUALIZATION OF AREAS OF INTEREST BASED ON THE ANALYSIS OF MEDICAL RADIOLOGICAL INFORMATION // Современная наука: актуальные проблемы теории и практики. Серия: Естественные и Технические Науки. -2025. -№03. -С. 48-52 DOI 10.37882/2223-2966.2025.03.12
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