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AI approach to biventricular function assessment in cine-MRI: an ultra-small training dataset and multivendor study.
Wang, Jing; Zhang, Nan; Wang, Shuyu; Liang, Wei; Zhao, Haiyue; Xia, Weili; Zhu, Jianlei; Zhang, Yan; Zhang, Wei; Chai, Senchun.
Afiliação
  • Wang J; School of Information Science and Engineering, University of Jinan, People's Republic of China.
  • Zhang N; Department of Radiology, Beijing Anzhen Hospital, Capital Medical University, People's Republic of China.
  • Wang S; Department of Electric Information Engineering, Shandong Youth University of Political Science, People's Republic of China.
  • Liang W; Department of Ecological Environment Statistics, Department of ecological environment of Shandong, People's Republic of China.
  • Zhao H; Department of Electric Information Engineering, Shandong Youth University of Political Science, People's Republic of China.
  • Xia W; Department of Science and Education, Shandong Mental Health Center, People's Republic of China.
  • Zhu J; Department of Neuromodulation Center, Shandong Mental Health Center, People's Republic of China.
  • Zhang Y; Department of Radiology, Shandong Mental Health Center, People's Republic of China.
  • Zhang W; Department of Medical Ultrasound, The First Affiliated Hospital of Shandong First Medical University & Shandong Provincial Qianfoshan Hospital, People's Republic of China.
  • Chai S; Department of Automation, School of automation, Beijing Institute of Technology, People's Republic of China.
Phys Med Biol ; 68(24)2023 Dec 13.
Article em En | MEDLINE | ID: mdl-37918023
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Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Redes Neurais de Computação / Imagem Cinética por Ressonância Magnética Idioma: En Revista: Phys Med Biol Ano de publicação: 2023 Tipo de documento: Article
Texto completo
Imprimir
XML
PubMed Links
Buscar no Google

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Redes Neurais de Computação / Imagem Cinética por Ressonância Magnética Idioma: En Revista: Phys Med Biol Ano de publicação: 2023 Tipo de documento: Article