Information technology for the early diagnosys of pneumonia using convolutional neural networks

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Datum:2021
Hauptverfasser: P. M. Radjuk, A. V. Barmak, Ju. Krak
Format: Artikel
Sprache:Englisch
Veröffentlicht: 2021
Schriftenreihe:International Scientific Technical Journal «Problems of Control and Informatics»
Online Zugang:http://jnas.nbuv.gov.ua/article/UJRN-0001264498
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Назва журналу:Library portal of National Academy of Sciences of Ukraine | LibNAS

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Library portal of National Academy of Sciences of Ukraine | LibNAS
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author P. M. Radjuk
A. V. Barmak
Ju. Krak
author_facet P. M. Radjuk
A. V. Barmak
Ju. Krak
author_sort P. M. Radjuk
collection Open-Science
first_indexed 2025-07-17T11:20:35Z
format Article
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institution Library portal of National Academy of Sciences of Ukraine | LibNAS
language English
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publishDate 2021
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series International Scientific Technical Journal «Problems of Control and Informatics»
spelling open-sciencenbuvgovua-61562024-02-25T16:06:12Z Information technology for the early diagnosys of pneumonia using convolutional neural networks P. M. Radjuk A. V. Barmak Ju. Krak 2786-6491 2021 en International Scientific Technical Journal «Problems of Control and Informatics» http://jnas.nbuv.gov.ua/article/UJRN-0001264498 Article
spellingShingle International Scientific Technical Journal «Problems of Control and Informatics»
P. M. Radjuk
A. V. Barmak
Ju. Krak
Information technology for the early diagnosys of pneumonia using convolutional neural networks
title Information technology for the early diagnosys of pneumonia using convolutional neural networks
title_full Information technology for the early diagnosys of pneumonia using convolutional neural networks
title_fullStr Information technology for the early diagnosys of pneumonia using convolutional neural networks
title_full_unstemmed Information technology for the early diagnosys of pneumonia using convolutional neural networks
title_short Information technology for the early diagnosys of pneumonia using convolutional neural networks
title_sort information technology for the early diagnosys of pneumonia using convolutional neural networks
url http://jnas.nbuv.gov.ua/article/UJRN-0001264498
work_keys_str_mv AT pmradjuk informationtechnologyfortheearlydiagnosysofpneumoniausingconvolutionalneuralnetworks
AT avbarmak informationtechnologyfortheearlydiagnosysofpneumoniausingconvolutionalneuralnetworks
AT jukrak informationtechnologyfortheearlydiagnosysofpneumoniausingconvolutionalneuralnetworks