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Fully convolutional network-based multi-output model for automatic segmentation of organs at risk in thorax.
Zhang, Jie; Yang, Yiwei; Shao, Kainan; Bai, Xue; Fang, Min; Shan, Guoping; Chen, Ming.
Afiliação
  • Zhang J; Institute of Cancer and Medicine, Chinese Academy of Sciences, Hangzhou, China.
  • Yang Y; Department of Radiation Physics, Cancer Hospital of the University of Chinese Academy of Sciences, Hangzhou, China.
  • Shao K; Department of Radiation Physics, Zhejiang Cancer Hospital, Hangzhou, China.
  • Bai X; Institute of Cancer and Medicine, Chinese Academy of Sciences, Hangzhou, China.
  • Fang M; Department of Radiation Physics, Cancer Hospital of the University of Chinese Academy of Sciences, Hangzhou, China.
  • Shan G; Department of Radiation Physics, Zhejiang Cancer Hospital, Hangzhou, China.
  • Chen M; Institute of Cancer and Medicine, Chinese Academy of Sciences, Hangzhou, China.
Sci Prog ; 104(2): 368504211020161, 2021.
Article em En | MEDLINE | ID: mdl-34053337
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Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Processamento de Imagem Assistida por Computador / Órgãos em Risco Tipo de estudo: Etiology_studies / Risk_factors_studies Limite: Humans Idioma: En Revista: Sci Prog Ano de publicação: 2021 Tipo de documento: Article
Texto completo
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Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Processamento de Imagem Assistida por Computador / Órgãos em Risco Tipo de estudo: Etiology_studies / Risk_factors_studies Limite: Humans Idioma: En Revista: Sci Prog Ano de publicação: 2021 Tipo de documento: Article