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...

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Autores principales: Karpov, A. V., Kozik, V. I., Nezhevenko, E. S., Schwartz, Y. Sh.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Pleiades Publishing 2023
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9984123/
http://dx.doi.org/10.3103/S8756699022050065
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author Karpov, A. V.
Kozik, V. I.
Nezhevenko, E. S.
Schwartz, Y. Sh.
author_facet Karpov, A. V.
Kozik, V. I.
Nezhevenko, E. S.
Schwartz, Y. Sh.
author_sort Karpov, A. V.
collection PubMed
description 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.
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spelling pubmed-99841232023-03-03 On the Influence of the Quality of Databases of X-Ray Images of Patients with Tuberculosis on the Diagnostics of Deceases Karpov, A. V. Kozik, V. I. Nezhevenko, E. S. Schwartz, Y. Sh. Optoelectron.Instrument.Proc. Article 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. Pleiades Publishing 2023-03-03 2022 /pmc/articles/PMC9984123/ http://dx.doi.org/10.3103/S8756699022050065 Text en © Allerton Press, Inc. 2022 This article is made available via the PMC Open Access Subset for unrestricted research re-use and secondary analysis in any form or by any means with acknowledgement of the original source. These permissions are granted for the duration of the World Health Organization (WHO) declaration of COVID-19 as a global pandemic.
spellingShingle Article
Karpov, A. V.
Kozik, V. I.
Nezhevenko, E. S.
Schwartz, Y. Sh.
On the Influence of the Quality of Databases of X-Ray Images of Patients with Tuberculosis on the Diagnostics of Deceases
title On the Influence of the Quality of Databases of X-Ray Images of Patients with Tuberculosis on the Diagnostics of Deceases
title_full On the Influence of the Quality of Databases of X-Ray Images of Patients with Tuberculosis on the Diagnostics of Deceases
title_fullStr On the Influence of the Quality of Databases of X-Ray Images of Patients with Tuberculosis on the Diagnostics of Deceases
title_full_unstemmed On the Influence of the Quality of Databases of X-Ray Images of Patients with Tuberculosis on the Diagnostics of Deceases
title_short On the Influence of the Quality of Databases of X-Ray Images of Patients with Tuberculosis on the Diagnostics of Deceases
title_sort on the influence of the quality of databases of x-ray images of patients with tuberculosis on the diagnostics of deceases
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9984123/
http://dx.doi.org/10.3103/S8756699022050065
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