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Dose Super-Resolution in Prostate Volumetric Modulated Arc Therapy Using Cascaded Deep Learning Networks.
Shin, Dong-Seok; Kim, Kyeong-Hyeon; Kang, Sang-Won; Kang, Seong-Hee; Kim, Jae-Sung; Kim, Tae-Ho; Kim, Dong-Su; Cho, Woong; Suh, Tae Suk; Chung, Jin-Beom.
Afiliación
  • Shin DS; Department of Biomedical Engineering, Department of Biomedicine and Health Sciences, College of Medicine, The Catholic University of Korea, Seoul, South Korea.
  • Kim KH; Research Institute of Biomedical Engineering, College of Medicine, The Catholic University of Korea, Seoul, South Korea.
  • Kang SW; Department of Biomedical Engineering, Department of Biomedicine and Health Sciences, College of Medicine, The Catholic University of Korea, Seoul, South Korea.
  • Kang SH; Research Institute of Biomedical Engineering, College of Medicine, The Catholic University of Korea, Seoul, South Korea.
  • Kim JS; Department of Biomedical Engineering, Department of Biomedicine and Health Sciences, College of Medicine, The Catholic University of Korea, Seoul, South Korea.
  • Kim TH; Research Institute of Biomedical Engineering, College of Medicine, The Catholic University of Korea, Seoul, South Korea.
  • Kim DS; Department of Radiation Oncology, Seoul National University Bundang Hospital, Bundang, South Korea.
  • Cho W; Department of Radiation Oncology, Seoul National University Bundang Hospital, Bundang, South Korea.
  • Suh TS; Proton Therapy Center, National Cancer Center, Goyang, South Korea.
  • Chung JB; Korea Atomic Energy Research Institute, Daejeon, South Korea.
Front Oncol ; 10: 593381, 2020.
Article en En | MEDLINE | ID: mdl-33304852
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Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Tipo de estudio: Prognostic_studies Idioma: En Revista: Front Oncol Año: 2020 Tipo del documento: Article País de afiliación: Corea del Sur Pais de publicación: Suiza
Texto completo
Añadir a Mi BVS
Imprimir
XML
PubMed Links
Buscar en Google

Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Tipo de estudio: Prognostic_studies Idioma: En Revista: Front Oncol Año: 2020 Tipo del documento: Article País de afiliación: Corea del Sur Pais de publicación: Suiza