Art

J-GLOBAL ID：202102275882107165   Reference number：21A0074779

Improvement of prediction and classification performance for gamma passing rate by using plan complexity and dosiomics features

計画複雑性とドシオミクス特徴を用いたガンマ通過率の予測と分類性能の改善【JST・京大機械翻訳】

Author (9)： Hirashima Hideaki (Department of Radiation Oncology and Image-applied Therapy, Graduate School of Medicine, Kyoto University, Kyoto, Japan) ,  Hirashima Hideaki (Japan Society for the Promotion of Science, Japan) ,  Ono Tomohiro (Department of Radiation Oncology and Image-applied Therapy, Graduate School of Medicine, Kyoto University, Kyoto, Japan) ,  Nakamura Mitsuhiro (Department of Radiation Oncology and Image-applied Therapy, Graduate School of Medicine, Kyoto University, Kyoto, Japan) ,  Nakamura Mitsuhiro (Division of Medical Physics, Department of Information Technology and Medical Engineering, Human Health Sciences, Graduate School of Medicine, Kyoto University, Kyoto, Japan) ,  Miyabe Yuki (Department of Radiation Oncology and Image-applied Therapy, Graduate School of Medicine, Kyoto University, Kyoto, Japan) ,  Mukumoto Nobutaka (Department of Radiation Oncology and Image-applied Therapy, Graduate School of Medicine, Kyoto University, Kyoto, Japan) ,  Iramina Hiraku (Department of Radiation Oncology and Image-applied Therapy, Graduate School of Medicine, Kyoto University, Kyoto, Japan) ,  Mizowaki Takashi (Department of Radiation Oncology and Image-applied Therapy, Graduate School of Medicine, Kyoto University, Kyoto, Japan)
Material： Radiotherapy and Oncology
Volume： 153  Page： 250-257  Publication year： 2020 
JST Material Number： W3151A  ISSN： 0167-8140  Document type： Article
Article type： 原著論文  Country of issue： Netherlands (NLD)  Language： ENGLISH (EN)

Abstract/Point： The purpose of this study was ...

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Thesaurus term： prediction technique ,  correlation coefficient ,  *three dimension ,  therapeutic planning ,  area under the blood concentration time curve ,  Machine Learning ,  prediction model ,  complexity ,  hybrid model ,  *omics ,  Mean Absolute Error ,  model
Semi thesaurus term： 予測性能 ,  強度変調回転放射線治療 , 【Automatic Indexing@JST】

Author keywords (6)： Prediction ,  Classification ,  Gamma passing rate ,  Plan complexity feature ,  Dosiomics feature ,  Machine learning

JST classification (1)： Radiotherapy for tumors  (GE03034K)

Terms in the title (4)： 計画 ,  複雑性 ,  予測 ,  分類