On the Influence of the Quality of Databases of X-Ray Images of Patients with Tuberculosis on the Diagnostics of Deceases

The reliability of the training samples used for training convolutional neural networks applied for diagnostics of lung diseases has been investigated. By the example of the Kaggle database, it has been shown that the sample containing 3500 roentgenograms of healthy people and 3500 roentgenograms of patients with tuberculosis is very inhomogeneous. When training by using different parts of the sample and recognizing its different parts, the results obtained are significantly different.