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Prediction of recurrence risk factors in patients with early-stage cervical cancers by nomogram based on MRI handcrafted radiomics features and deep learning features: a dual-center study.
Zhang, Yajiao; Wu, Chao; Du, Jinglong; Xiao, Zhibo; Lv, Furong; Liu, Yanbing.
Affiliation
  • Zhang Y; College of Medical Informatics, Chongqing Medical University, No.1 Medical College Road, Chongqing, China.
  • Wu C; Department of Radiology, The First Affiliated Hospital of Chongqing Medical University, Chongqing, China.
  • Du J; College of Medical Informatics, Chongqing Medical University, No.1 Medical College Road, Chongqing, China.
  • Xiao Z; College of Medical Informatics, Chongqing Medical University, No.1 Medical College Road, Chongqing, China.
  • Lv F; Department of Radiology, The First Affiliated Hospital of Chongqing Medical University, Chongqing, China.
  • Liu Y; College of Medical Informatics, Chongqing Medical University, No.1 Medical College Road, Chongqing, China. x1220295030@163.com.
Abdom Radiol (NY) ; 49(1): 258-270, 2024 Jan.
Article in En | MEDLINE | ID: mdl-37987856
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Full text: 1 Collection: 01-internacional Database: MEDLINE Main subject: Uterine Cervical Neoplasms / Deep Learning Limits: Female / Humans Language: En Journal: Abdom Radiol (NY) Year: 2024 Type: Article Affiliation country: China
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Full text: 1 Collection: 01-internacional Database: MEDLINE Main subject: Uterine Cervical Neoplasms / Deep Learning Limits: Female / Humans Language: En Journal: Abdom Radiol (NY) Year: 2024 Type: Article Affiliation country: China