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Deep learning-based in vivo dose verification from proton-induced secondary-electron-bremsstrahlung images with various count level.
Yabe, Takuya; Yamaguchi, Mitsutaka; Liu, Chih-Chieh; Toshito, Toshiyuki; Kawachi, Naoki; Yamamoto, Seiichi.
Afiliação
  • Yabe T; Department of Integrated Health Science, Nagoya University Graduate School of Medicine, Aichi, Japan; Department of Medical Technology, Nagoya University Hospital, Aichi, Japan. Electronic address: yabe.takuya@qst.go.jp.
  • Yamaguchi M; Takasaki Advanced Radiation Research Institute, Quantum Beam Science Research Directorate, National Institutes for Quantum Science and Technology (QST), Gunma, Japan.
  • Liu CC; Department of Biomedical Engineering, University of California, Davis, USA.
  • Toshito T; Department of Proton Therapy Physics, Nagoya Proton Therapy Center, Nagoya City University West Medical Center, Aichi, Japan.
  • Kawachi N; Takasaki Advanced Radiation Research Institute, Quantum Beam Science Research Directorate, National Institutes for Quantum Science and Technology (QST), Gunma, Japan.
  • Yamamoto S; Department of Integrated Health Science, Nagoya University Graduate School of Medicine, Aichi, Japan; Faculty of Science and Engineering, Waseda University, Tokyo, Japan.
Phys Med ; 99: 130-139, 2022 Jul.
Article em En | MEDLINE | ID: mdl-35689979
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Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Tipo de estudo: Health_economic_evaluation / Prognostic_studies Idioma: En Ano de publicação: 2022 Tipo de documento: Article
Texto completo
Imprimir
XML
PubMed Links
Buscar no Google

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Tipo de estudo: Health_economic_evaluation / Prognostic_studies Idioma: En Ano de publicação: 2022 Tipo de documento: Article