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Comparing effectiveness of image perturbation and test retest imaging in improving radiomic model reliability.
Zhang, Jiang; Teng, Xinzhi; Zhang, Xinyu; Lam, Sai-Kit; Lin, Zhongshi; Liang, Yongyi; Yu, Hao; Siu, Steven Wai Kwan; Chang, Amy Tien Yee; Zhang, Hua; Kong, Feng-Ming; Yang, Ruijie; Cai, Jing.
Afiliación
  • Zhang J; Department of Health Technology and Informatics, The Hong Kong Polytechnic University, Y920, Lee Shau Kee Building, Hung Hom, Kowloon, Hong Kong, China.
  • Teng X; Department of Health Technology and Informatics, The Hong Kong Polytechnic University, Y920, Lee Shau Kee Building, Hung Hom, Kowloon, Hong Kong, China.
  • Zhang X; Department of Health Technology and Informatics, The Hong Kong Polytechnic University, Y920, Lee Shau Kee Building, Hung Hom, Kowloon, Hong Kong, China.
  • Lam SK; Department of Biomedical Engineering, Faculty of Engineering, The Hong Kong Polytechnic University, Hong Kong, China.
  • Lin Z; Research Institute for Smart Ageing, The Hong Kong Polytechnic University, Hong Kong, China.
  • Liang Y; Shenzhen Institute for Drug Control (Shenzhen Testing Center of Medical Devices), Shenzhen, China.
  • Yu H; Shenzhen Institute for Drug Control (Shenzhen Testing Center of Medical Devices), Shenzhen, China.
  • Siu SWK; Institute of Biomedical and Health Engineering, Chinese Academy of Sciences Shenzhen Institutes of Advanced Technology, Shenzhen, China.
  • Chang ATY; Department of Clinical Oncology, The University of Hong Kong, Hong Kong, China.
  • Zhang H; Department of Clinical Oncology, The University of Hong Kong, Hong Kong, China.
  • Kong FM; Beijing Linking Medical Technology Co., Ltd., Beijing, China.
  • Yang R; Department of Clinical Oncology, The University of Hong Kong, Hong Kong, China.
  • Cai J; Department of Clinical Oncology, The University of Hong Kong-Shenzhen Hospital, Shenzhen, China.
Sci Rep ; 13(1): 18263, 2023 10 25.
Article en En | MEDLINE | ID: mdl-37880324

Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Asunto principal: Procesamiento de Imagen Asistido por Computador / Neoplasias de la Mama Límite: Female / Humans Idioma: En Revista: Sci Rep Año: 2023 Tipo del documento: Article País de afiliación: China Pais de publicación: Reino Unido

Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Asunto principal: Procesamiento de Imagen Asistido por Computador / Neoplasias de la Mama Límite: Female / Humans Idioma: En Revista: Sci Rep Año: 2023 Tipo del documento: Article País de afiliación: China Pais de publicación: Reino Unido