Classification of medical images of patients with Covid-19 using transfer learning technology of convolutional neural network | Zendy

А. С. Мирошниченко | Zendy; V.M. Mikhelev | Zendy

Open Access

Classification of medical images of patients with Covid-19 using transfer learning technology of convolutional neural network

Author(s) -

А. С. Мирошниченко,

V.M. Mikhelev

Publication year - 2021

Publication title -

journal of physics conference series

Language(s) - English

Resource type - Journals

SCImago Journal Rank - 0.21

H-Index - 85

eISSN - 1742-6596

pISSN - 1742-6588

DOI - 10.1088/1742-6596/1801/1/012010

Subject(s) - convolutional neural network , covid-19 , transfer of learning , artificial intelligence , computer science , field (mathematics) , artificial neural network , deep learning , pattern recognition (psychology) , machine learning , medicine , mathematics , virology , pathology , disease , outbreak , infectious disease (medical specialty) , pure mathematics

The paper shows an approach to solving the problem of classifying X-ray images of the chest part of a healthy person and with the presence of COVID-19. The method is a trainable convolutional neural network. The results obtained allow improving existing approaches and methods in the field of classification of medical images with COVID-19, as well as obtaining an auxiliary mechanism for detecting COVID-19 in patients.

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