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Radiomics based on readout-segmented echo-planar imaging (RS-EPI) diffusion-weighted imaging (DWI) for prognostic risk stratification of patients with rectal cancer: a two-centre, machine learning study using the framework of predictive, preventive, and personalized medicine.
Liu, Zonglin; Wang, Yueming; Shen, Fu; Zhang, Zhiyuan; Gong, Jing; Fu, Caixia; Shen, Changqing; Li, Rong; Jing, Guodong; Cai, Sanjun; Zhang, Zhen; Sun, Yiqun; Tong, Tong.
Afiliação
  • Liu Z; Department of Radiology, Fudan University Shanghai Cancer Center, Shanghai, China.
  • Wang Y; Department of Oncology, Shanghai Medical College, Fudan University, Shanghai, China.
  • Shen F; Department of Anatomy and Physiology, Shanghai JiaoTong University School of Medicine, Shanghai, China.
  • Zhang Z; Department of Radiology, Changhai Hospital, Second Military Medical University, Shanghai, China.
  • Gong J; Department of Oncology, Shanghai Medical College, Fudan University, Shanghai, China.
  • Fu C; Department of Radiation Oncology, Fudan University Shanghai Cancer Center, Shanghai, China.
  • Shen C; Department of Radiology, Fudan University Shanghai Cancer Center, Shanghai, China.
  • Li R; Department of Oncology, Shanghai Medical College, Fudan University, Shanghai, China.
  • Jing G; Department of Radiology, Fudan University Shanghai Cancer Center, Shanghai, China.
  • Cai S; MR Application Development, Siemens Shenzhen Magnetic Resonance Ltd, Shenzhen, China.
  • Zhang Z; Department of Radiology, Fudan University Shanghai Cancer Center, Shanghai, China.
  • Sun Y; Department of Radiology, Fudan University Shanghai Cancer Center, Shanghai, China.
  • Tong T; Department of Radiology, Changhai Hospital, Second Military Medical University, Shanghai, China.
EPMA J ; 13(4): 633-647, 2022 Dec.
Article em En | MEDLINE | ID: mdl-36505889
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Texto completo: 1 Base de dados: MEDLINE Idioma: En Ano de publicação: 2022 Tipo de documento: Article
Texto completo
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XML
PubMed Links
Buscar no Google

Texto completo: 1 Base de dados: MEDLINE Idioma: En Ano de publicação: 2022 Tipo de documento: Article