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Identification of age-dependent features of human bronchi using explainable artificial intelligence

Hiroaki Ikushima, Kazuhiro Usui
ERJ Open Research 2023 9: 00362-2023; DOI: 10.1183/23120541.00362-2023
Hiroaki Ikushima
1Department of Respiratory Medicine, NTT Medical Center Tokyo, Tokyo, Japan
2Department of Respiratory Medicine, The University of Tokyo Hospital, Tokyo, Japan
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Kazuhiro Usui
1Department of Respiratory Medicine, NTT Medical Center Tokyo, Tokyo, Japan
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Article Information

vol. 9 no. 5
DOI 
https://doi.org/10.1183/23120541.00362-2023

Published By 
European Respiratory Society
Online ISSN 
2312-0541
History 
  • Received June 2, 2023
  • Accepted August 8, 2023
  • Published online October 16, 2023.

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  • previous version (August 17, 2023 - 07:52).
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Copyright & Usage 
Copyright ©The authors 2023 This version is distributed under the terms of the Creative Commons Attribution Non-Commercial Licence 4.0. For commercial reproduction rights and permissions contact permissions@ersnet.org

Author Information

  1. Hiroaki Ikushima1,2⇑ and
  2. Kazuhiro Usui1
  1. 1Department of Respiratory Medicine, NTT Medical Center Tokyo, Tokyo, Japan
  2. 2Department of Respiratory Medicine, The University of Tokyo Hospital, Tokyo, Japan
  1. Corresponding author: Hiroaki Ikushima (hikushima-tky{at}umin.ac.jp)
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Funding

  • Japan Society for the Promotion of Science

    JP21K08173

Article usage

Article usage: August 2023 to October 2023

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Sep 202337297
Oct 20232128658

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Identification of age-dependent features of human bronchi using explainable artificial intelligence
Hiroaki Ikushima, Kazuhiro Usui
ERJ Open Research Sep 2023, 9 (5) 00362-2023; DOI: 10.1183/23120541.00362-2023

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Identification of age-dependent features of human bronchi using explainable artificial intelligence
Hiroaki Ikushima, Kazuhiro Usui
ERJ Open Research Sep 2023, 9 (5) 00362-2023; DOI: 10.1183/23120541.00362-2023
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