THE USE OF IMAGE COMPRESSION METHODS FOR BINARY CLASSIFICATION OF AN ARTIFICIAL NEURAL NETWORK IN THE SPHERE OF MEDICINE

  • Olga Zelevska Національний технічний університет України «Київський політехнічний інститут імені Ігоря Сікорського» (Україна) https://orcid.org/0000-0002-3163-1695
  • Alexey Finigenov Національний технічний університет України «Київський політехнічний інститут імені Ігоря Сікорського» (Україна) https://orcid.org/0000-0002-1708-5632
  • Olga Demydenko Національний технічний університет України «Київський політехнічний інститут імені Ігоря Сікорського» (Україна) https://orcid.org/0000-0002-0643-5510
  • Yurii Okiinyk Національний технічний університет України «Київський політехнічний інститут імені Ігоря Сікорського» (Україна) https://orcid.org/0000-0002-7408-4927
  • Roman Ilienko Національний технічний університет України «Київський політехнічний інститут імені Ігоря Сікорського» (Україна) https://orcid.org/0000-0002-4676-4036

Abstract

In the robot, we look at the methods of compression of medical knowledge, which are taken for an additional computer tomography, and that has been added to the binary classification by means of a piece of neural hedge.

Before the hour of epidemic threats of the state food supply, about the fast hour, like a vitrachal likar for the processing of signs of patients with age for ill health. With the help of such an epidemic of COVID-19, which in the first place is the enemy of the legends of the people. Infection manifests itself on signs with characteristic video beats, which allows you to get sick at an early stage. Statistical data showed that 63% of the patients were ill. In the middle, on the establishment of diagnostics of vitrachak, it is close to 30-40 hilines in simple cases and from decilcoh years in the middle and heavy. According to the statistical data on the diagnosis of illness on coronavirus cases, the bulo was established in 43% of the patients in which cases were diagnosed for illness. The number of patients who have undergone a computer tomography in Kiev (Ukraine) metro station in 2020 is close to 357640 people. In order to establish a daily diagnosis of drugs, 4400 dB of uninterrupted robots were stained. The great obsyag of tribute did not allow taking the sign of the singing hour and collecting the tribute about the recession of the ailment. Otzhe, a question about the quality of the squeezing algorithm and the infusion for the diagnosis of ailments. Likewise, there is a great number of signs of the healthy and the legends, who have been given small ailments, to lead to the increase of mercy through the human factor.

The expert opinion of the neural framing for the improvement of the classification of computer tomography has been shown. A piece of neural framing, which has passed the final stage of development, I wish I didn’t need to substitute qualified specialists in medicine, but rather forgive people the aspects of the complexities of people’s problems in thinking.

Key words: piece neuron of a fancy, medicine, legends, fractal compression, image compression.

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Published
2022-05-24
How to Cite
Zelevska, O., Finigenov, A., Demydenko, O., Okiinyk, Y., & Ilienko, R. (2022). THE USE OF IMAGE COMPRESSION METHODS FOR BINARY CLASSIFICATION OF AN ARTIFICIAL NEURAL NETWORK IN THE SPHERE OF MEDICINE. Modern Problems of Modeling, (23), 81-89. https://doi.org/10.33842/2313-125X-2023-23-81-89