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Preoperative prediction of tumour deposits in rectal cancer by an artificial neural network-based US radiomics model.
Chen, Li-Da; Li, Wei; Xian, Meng-Fei; Zheng, Xin; Lin, Yuan; Liu, Bao-Xian; Lin, Man-Xia; Li, Xin; Zheng, Yan-Ling; Xie, Xiao-Yan; Lu, Ming-De; Kuang, Ming; Xu, Jian-Bo; Wang, Wei.
Afiliação
  • Chen LD; Department of Medical Ultrasonics, Ultrasomics Artificial Intelligence X-Lab, Institute of Diagnostic and Interventional Ultrasound, The First Affiliated Hospital of Sun Yat-sen University, 58 Zhongshan Road 2, Guangzhou, 510080, People's Republic of China.
  • Li W; Department of Medical Ultrasonics, Ultrasomics Artificial Intelligence X-Lab, Institute of Diagnostic and Interventional Ultrasound, The First Affiliated Hospital of Sun Yat-sen University, 58 Zhongshan Road 2, Guangzhou, 510080, People's Republic of China.
  • Xian MF; Department of Medical Ultrasonics, East Division, The First Affiliated Hospital of Sun Yat-sen University, Guangzhou, People's Republic of China.
  • Zheng X; Department of Medical Ultrasonics, Ultrasomics Artificial Intelligence X-Lab, Institute of Diagnostic and Interventional Ultrasound, The First Affiliated Hospital of Sun Yat-sen University, 58 Zhongshan Road 2, Guangzhou, 510080, People's Republic of China.
  • Lin Y; Department of Pathology, The First Affiliated Hospital of Sun Yat-sen University, Guangzhou, People's Republic of China.
  • Liu BX; Department of Medical Ultrasonics, Ultrasomics Artificial Intelligence X-Lab, Institute of Diagnostic and Interventional Ultrasound, The First Affiliated Hospital of Sun Yat-sen University, 58 Zhongshan Road 2, Guangzhou, 510080, People's Republic of China.
  • Lin MX; Department of Medical Ultrasonics, Ultrasomics Artificial Intelligence X-Lab, Institute of Diagnostic and Interventional Ultrasound, The First Affiliated Hospital of Sun Yat-sen University, 58 Zhongshan Road 2, Guangzhou, 510080, People's Republic of China.
  • Li X; Research Center of GE Healthcare, Shanghai, People's Republic of China.
  • Zheng YL; Department of Medical Ultrasonics, Ultrasomics Artificial Intelligence X-Lab, Institute of Diagnostic and Interventional Ultrasound, The First Affiliated Hospital of Sun Yat-sen University, 58 Zhongshan Road 2, Guangzhou, 510080, People's Republic of China.
  • Xie XY; Department of Medical Ultrasonics, Ultrasomics Artificial Intelligence X-Lab, Institute of Diagnostic and Interventional Ultrasound, The First Affiliated Hospital of Sun Yat-sen University, 58 Zhongshan Road 2, Guangzhou, 510080, People's Republic of China.
  • Lu MD; Department of Medical Ultrasonics, Ultrasomics Artificial Intelligence X-Lab, Institute of Diagnostic and Interventional Ultrasound, The First Affiliated Hospital of Sun Yat-sen University, 58 Zhongshan Road 2, Guangzhou, 510080, People's Republic of China.
  • Kuang M; Department of Hepatobiliary Surgery, The First Affiliated Hospital of Sun Yat-sen University, Guangzhou, People's Republic of China.
  • Xu JB; Department of Medical Ultrasonics, Ultrasomics Artificial Intelligence X-Lab, Institute of Diagnostic and Interventional Ultrasound, The First Affiliated Hospital of Sun Yat-sen University, 58 Zhongshan Road 2, Guangzhou, 510080, People's Republic of China.
  • Wang W; Department of Hepatobiliary Surgery, The First Affiliated Hospital of Sun Yat-sen University, Guangzhou, People's Republic of China.
Eur Radiol ; 30(4): 1969-1979, 2020 Apr.
Article em En | MEDLINE | ID: mdl-31828415
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Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Neoplasias Retais / Imageamento por Ressonância Magnética / Ultrassonografia / Redes Neurais de Computação / Aprendizado de Máquina Tipo de estudo: Diagnostic_studies / Observational_studies / Prognostic_studies / Risk_factors_studies Limite: Adult / Aged / Female / Humans / Male / Middle aged Idioma: En Ano de publicação: 2020 Tipo de documento: Article
Texto completo
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XML
PubMed Links
Buscar no Google

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Neoplasias Retais / Imageamento por Ressonância Magnética / Ultrassonografia / Redes Neurais de Computação / Aprendizado de Máquina Tipo de estudo: Diagnostic_studies / Observational_studies / Prognostic_studies / Risk_factors_studies Limite: Adult / Aged / Female / Humans / Male / Middle aged Idioma: En Ano de publicação: 2020 Tipo de documento: Article