Computed Tomography slice interpolation in the longitudinal direction based on deep learning techniques: To reduce slice thickness or slice increment without dose increase

• Shuqiong Wu ,

  Roles Conceptualization, Formal analysis, Funding acquisition, Investigation, Methodology, Project administration, Resources, Software, Validation, Writing – original draft, Writing – review & editing

  * E-mail: wu@am.sanken.osaka-u.ac.jp

  Affiliation The Institute of Scientific and Industrial Research, Osaka University, Ibaraki, Osaka, Japan

  https://orcid.org/0000-0003-1501-9719

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• Megumi Nakao,

  Roles Funding acquisition, Methodology, Supervision

  Affiliation Graduate School of Informatics, Kyoto University, Kyoto, Japan

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• Keiho Imanishi,

  Roles Software

  Affiliation e-Growth Co., Ltd., Kyoto, Japan

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• Mitsuhiro Nakamura,

  Roles Data curation, Funding acquisition, Supervision

  Affiliations Division of Medical Physics, Department of Information Technology and Medical Engineering, Human Health Sciences, Graduate School of Medicine, Kyoto University, Kyoto, Japan, Department of Radiation Oncology and Image-applied Therapy, Graduate School of Medicine, Kyoto University, Kyoto, Japan

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• Takashi Mizowaki,

  Roles Data curation

  Affiliation Department of Radiation Oncology and Image-applied Therapy, Graduate School of Medicine, Kyoto University, Kyoto, Japan

  https://orcid.org/0000-0002-8135-8746

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• Tetsuya Matsuda

  Roles Formal analysis, Supervision

  Affiliation Graduate School of Informatics, Kyoto University, Kyoto, Japan

  https://orcid.org/0000-0002-2339-1521

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