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Performance evaluation of dual-energy CT and differential phase contrast CT in quantitative imaging applications.
Zhang, Xin; Su, Ting; Yang, Jiecheng; Zhu, Jiongtao; Xia, Dongmei; Zheng, Hairong; Liang, Dong; Ge, Yongshuai.
Afiliação
  • Zhang X; Key Laboratory of Low-grade Energy Utilization Technologies and Systems of Ministry of Education of China, College of Power Engineering, Chongqing University, Chongqing, China.
  • Su T; Research Center for Medical Artificial Intelligence, Shenzhen Institute of Advanced Technology, Chinese Academy of Sciences, Shenzhen, China.
  • Yang J; Research Center for Medical Artificial Intelligence, Shenzhen Institute of Advanced Technology, Chinese Academy of Sciences, Shenzhen, China.
  • Zhu J; Research Center for Medical Artificial Intelligence, Shenzhen Institute of Advanced Technology, Chinese Academy of Sciences, Shenzhen, China.
  • Xia D; Research Center for Medical Artificial Intelligence, Shenzhen Institute of Advanced Technology, Chinese Academy of Sciences, Shenzhen, China.
  • Zheng H; Key Laboratory of Low-grade Energy Utilization Technologies and Systems of Ministry of Education of China, College of Power Engineering, Chongqing University, Chongqing, China.
  • Liang D; Paul C Lauterbur Research Center for Biomedical Imaging, Shenzhen Institute of Advanced Technology, Chinese Academy of Sciences, Shenzhen, China.
  • Ge Y; Research Center for Medical Artificial Intelligence, Shenzhen Institute of Advanced Technology, Chinese Academy of Sciences, Shenzhen, China.
Med Phys ; 49(2): 1123-1138, 2022 Feb.
Article em En | MEDLINE | ID: mdl-34951037
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Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Algoritmos / Tomografia Computadorizada por Raios X Limite: Humans Idioma: En Revista: Med Phys Ano de publicação: 2022 Tipo de documento: Article País de afiliação: China
Texto completo
Imprimir
XML
PubMed Links
Buscar no Google

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Algoritmos / Tomografia Computadorizada por Raios X Limite: Humans Idioma: En Revista: Med Phys Ano de publicação: 2022 Tipo de documento: Article País de afiliação: China