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A Transfer Learning Framework for Deep Learning-Based CT-to-Perfusion Mapping on Lung Cancer Patients.
Ren, Ge; Li, Bing; Lam, Sai-Kit; Xiao, Haonan; Huang, Yu-Hua; Cheung, Andy Lai-Yin; Lu, Yufei; Mao, Ronghu; Ge, Hong; Kong, Feng-Ming Spring; Ho, Wai-Yin; Cai, Jing.
Afiliación
  • Ren G; Department of Health Technology and Informatics, The Hong Kong Polytechnic University, Hong Kong, Hong Kong SAR, China.
  • Li B; Department of Health Technology and Informatics, The Hong Kong Polytechnic University, Hong Kong, Hong Kong SAR, China.
  • Lam SK; Department of Radiotherapy, Affiliated Cancer Hospital of Zhengzhou University/Henan Cancer Hospital, Zhengzhou, China.
  • Xiao H; Department of Health Technology and Informatics, The Hong Kong Polytechnic University, Hong Kong, Hong Kong SAR, China.
  • Huang YH; Department of Health Technology and Informatics, The Hong Kong Polytechnic University, Hong Kong, Hong Kong SAR, China.
  • Cheung AL; Department of Health Technology and Informatics, The Hong Kong Polytechnic University, Hong Kong, Hong Kong SAR, China.
  • Lu Y; Department of Clinical Oncology, Queen Mary Hospital, Hong Kong, Hong Kong SAR, China.
  • Mao R; Department of Radiotherapy, Affiliated Cancer Hospital of Zhengzhou University/Henan Cancer Hospital, Zhengzhou, China.
  • Ge H; Department of Radiotherapy, Affiliated Cancer Hospital of Zhengzhou University/Henan Cancer Hospital, Zhengzhou, China.
  • Kong FS; Department of Radiotherapy, Affiliated Cancer Hospital of Zhengzhou University/Henan Cancer Hospital, Zhengzhou, China.
  • Ho WY; Department of Clinical Oncology, Queen Mary Hospital, Hong Kong, Hong Kong SAR, China.
  • Cai J; Department of Clinical Oncology, The University of Hong Kong, Hong Kong, Hong Kong SAR, China.
Front Oncol ; 12: 883516, 2022.
Article en En | MEDLINE | ID: mdl-35847874
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Texto completo: 1 Colección: 01-internacional Banco de datos: MEDLINE Idioma: En Revista: Front Oncol Año: 2022 Tipo del documento: Article País de afiliación: China
Texto completo
Imprimir
XML
PubMed Links
Buscar en Google

Texto completo: 1 Colección: 01-internacional Banco de datos: MEDLINE Idioma: En Revista: Front Oncol Año: 2022 Tipo del documento: Article País de afiliación: China