Deep learning approach to classification of lung cytological images: Two-step training using actual and synthesized images by progressive growing of generative adversarial networks

• Atsushi Teramoto ,

  Contributed equally to this work with: Atsushi Teramoto, Tetsuya Tsukamoto

  Roles Conceptualization, Investigation, Methodology, Software, Validation, Visualization

  * E-mail: teramoto@fujita-hu.ac.jp

  Affiliations Faculty of Radiological Technology, School of Medical Sciences, Fujita Health University, Toyoake, Japan, School of Medicine, Fujita Health University, Toyoake, Japan

  http://orcid.org/0000-0001-7613-5348

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• Tetsuya Tsukamoto ,

  Contributed equally to this work with: Atsushi Teramoto, Tetsuya Tsukamoto

  Roles Conceptualization, Data curation, Investigation, Validation

  Affiliation School of Medicine, Fujita Health University, Toyoake, Japan

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• Ayumi Yamada,

  Roles Data curation, Investigation, Writing – review & editing

  Affiliation Faculty of Radiological Technology, School of Medical Sciences, Fujita Health University, Toyoake, Japan

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• Yuka Kiriyama,

  Roles Data curation, Validation

  Affiliation School of Medicine, Fujita Health University, Toyoake, Japan

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• Kazuyoshi Imaizumi,

  Roles Data curation, Validation, Writing – review & editing

  Affiliation School of Medicine, Fujita Health University, Toyoake, Japan

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• Kuniaki Saito,

  Roles Conceptualization, Investigation, Project administration, Writing – review & editing

  Affiliation Faculty of Radiological Technology, School of Medical Sciences, Fujita Health University, Toyoake, Japan

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• Hiroshi Fujita

  Roles Conceptualization, Investigation, Writing – review & editing

  Affiliation Department of Electrical, Electronic and Computer Engineering, Faculty of Engineering, Gifu University, Gifu, Japan

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