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Development and validation of a deep learning algorithm detecting 10 common abnormalities on chest radiographs

Ju Gang Nam, Minchul Kim, Jongchan Park, Eui Jin Hwang, Jong Hyuk Lee, Jung Hee Hong, Jin Mo Goo, Chang Min Park
European Respiratory Journal 2020; DOI: 10.1183/13993003.03061-2020
Ju Gang Nam
1Department of Radiology, Seoul National University Hospital, Seoul, Republic of Korea
2College of Medicine, Seoul, Republic of Korea
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Minchul Kim
3Lunit Incorporated, Seoul, Republic of Korea
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Jongchan Park
3Lunit Incorporated, Seoul, Republic of Korea
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Eui Jin Hwang
1Department of Radiology, Seoul National University Hospital, Seoul, Republic of Korea
2College of Medicine, Seoul, Republic of Korea
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Jong Hyuk Lee
1Department of Radiology, Seoul National University Hospital, Seoul, Republic of Korea
2College of Medicine, Seoul, Republic of Korea
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Jung Hee Hong
1Department of Radiology, Seoul National University Hospital, Seoul, Republic of Korea
2College of Medicine, Seoul, Republic of Korea
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Jin Mo Goo
1Department of Radiology, Seoul National University Hospital, Seoul, Republic of Korea
2College of Medicine, Seoul, Republic of Korea
4Institute of Radiation Medicine, Seoul National University Medical Research Center, Seoul, Republic of Korea
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Chang Min Park
1Department of Radiology, Seoul National University Hospital, Seoul, Republic of Korea
2College of Medicine, Seoul, Republic of Korea
4Institute of Radiation Medicine, Seoul National University Medical Research Center, Seoul, Republic of Korea
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  • For correspondence: cmpark.morphius@gmail.com
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Article Information

DOI 
https://doi.org/10.1183/13993003.03061-2020
PubMed 
33243843

Published By 
European Respiratory Society
Print ISSN 
0903-1936
Online ISSN 
1399-3003
History 
  • Received August 7, 2020
  • Accepted November 3, 2020
  • Published online November 26, 2020.

Article Versions

  • You are currently viewing a previous version of this article (November 26, 2020 - 08:52).
  • View the most recent version of this article
Copyright & Usage 
Copyright ©ERS 2020

Author Information

  1. Ju Gang Nam1,2,
  2. Minchul Kim3,
  3. Jongchan Park3,
  4. Eui Jin Hwang1,2,
  5. Jong Hyuk Lee1,2,
  6. Jung Hee Hong1,2,
  7. Jin Mo Goo1,2,4 and
  8. Chang Min Park1,2,4⇑
  1. 1Department of Radiology, Seoul National University Hospital, Seoul, Republic of Korea
  2. 2College of Medicine, Seoul, Republic of Korea
  3. 3Lunit Incorporated, Seoul, Republic of Korea
  4. 4Institute of Radiation Medicine, Seoul National University Medical Research Center, Seoul, Republic of Korea
  1. Prof. Chang Min Park, MD, PhD, Department of Radiology and Institute of Radiation Medicine, Seoul National University College of Medicine, 101 Daehak-ro, Jongno-gu, Seoul 03080, Korea. E-mail: cmpark.morphius{at}gmail.com
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Funding

  • National Research Foundation of Korea

    grant number: NRF-2018R1A5A1060031
  • Seoul National University Hospital

    grant number: 03-2019-0190

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Article usage: November 2020 to May 2022

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Development and validation of a deep learning algorithm detecting 10 common abnormalities on chest radiographs
Ju Gang Nam, Minchul Kim, Jongchan Park, Eui Jin Hwang, Jong Hyuk Lee, Jung Hee Hong, Jin Mo Goo, Chang Min Park
European Respiratory Journal Jan 2020, 2003061; DOI: 10.1183/13993003.03061-2020

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Development and validation of a deep learning algorithm detecting 10 common abnormalities on chest radiographs
Ju Gang Nam, Minchul Kim, Jongchan Park, Eui Jin Hwang, Jong Hyuk Lee, Jung Hee Hong, Jin Mo Goo, Chang Min Park
European Respiratory Journal Jan 2020, 2003061; DOI: 10.1183/13993003.03061-2020
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