Your browser doesn't support javascript.
loading
Deep learning-based synthetic dose-weighted LET map generation for intensity modulated proton therapy.
Gao, Yuan; Chang, Chih-Wei; Pan, Shaoyan; Peng, Junbo; Ma, Chaoqiong; Patel, Pretesh; Roper, Justin; Zhou, Jun; Yang, Xiaofeng.
Afiliação
  • Gao Y; Department of Radiation Oncology and Winship Cancer Institute, Emory University, Atlanta, GA, United States of America.
  • Chang CW; Department of Radiation Oncology and Winship Cancer Institute, Emory University, Atlanta, GA, United States of America.
  • Pan S; Department of Radiation Oncology and Winship Cancer Institute, Emory University, Atlanta, GA, United States of America.
  • Peng J; Department of Biomedical Informatics, Emory University, Atlanta, GA, United States of America.
  • Ma C; Department of Radiation Oncology and Winship Cancer Institute, Emory University, Atlanta, GA, United States of America.
  • Patel P; Department of Radiation Oncology and Winship Cancer Institute, Emory University, Atlanta, GA, United States of America.
  • Roper J; Department of Radiation Oncology and Winship Cancer Institute, Emory University, Atlanta, GA, United States of America.
  • Zhou J; Department of Radiation Oncology and Winship Cancer Institute, Emory University, Atlanta, GA, United States of America.
  • Yang X; Department of Radiation Oncology and Winship Cancer Institute, Emory University, Atlanta, GA, United States of America.
Phys Med Biol ; 69(2)2024 Jan 05.
Article em En | MEDLINE | ID: mdl-38091613
Assuntos
Palavras-chave
Texto completo
Imprimir
XML
PubMed Links
Buscar no Google

Texto completo: 1 Base de dados: MEDLINE Assunto principal: Terapia com Prótons / Aprendizado Profundo Idioma: En Revista: Phys Med Biol Ano de publicação: 2024 Tipo de documento: Article País de afiliação: Estados Unidos
Texto completo
Imprimir
XML
PubMed Links
Buscar no Google

Texto completo: 1 Base de dados: MEDLINE Assunto principal: Terapia com Prótons / Aprendizado Profundo Idioma: En Revista: Phys Med Biol Ano de publicação: 2024 Tipo de documento: Article País de afiliação: Estados Unidos