Algorithmization of the process of recognition of states of living objects based on special x-ray images
Vasilchenko V.A., Burkovskiy V.L., Danilov A.D.

Voronezh State Technical University, Russia, Voronezh

Abstract:
The article discusses results of the development of an expert system module for diagnosing diseases based on the method of neural network analysis. In the course of the study, it was established that when processing images obtained using magnetic resonance imaging (MRI) devices, convolutional neural networks offer the maximum efficiency. An algorithm is developed to select an optimal neural network structure best suited for our objective. As a result of the work, we developed a convolutional neural network capable of detecting foci of pathological changes in tissues with high probability in the images obtained by MRI scanners. The method was evaluated using a separate human organ - lungs. The system was implemented in a test mode in one of the largest clinics of the city of Voronezh.

Keywords:
diagnostics, binarization, clustering, classification, convolutional neural network.

Citation:
Vasilchenko VA, Burkovskiy VL, Danilov AD. Algorithmization of the process of recognition of states of living objects based on special x-ray images. Computer Optics 2019; 43(2): 296-303. DOI: 10.18287/2412-6179-2017-43-2-296-303.

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