Development of a software package to support decision-making in the diagnosis of COVID-19

The article analyzes the existing methods of using convolutional neural networks for the analysis of X-ray images of the lungs and analyzes product solutions for the diagnosis of COVID-19 based on lung images. As a result, a Python program was created that accepts an X-ray image of the lungs as input, processes it with the connected check_covid function, and returns the response of the neural network analysis result to the json requester.