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Development of a multimodal kidney age prediction based on automatic segmentation CT image in patients with normal renal function.
Hou, Zuoxian; Zhang, Gumuyang; Ma, Yixin; Xia, Peng; Shi, Xiaoxiao; She, Wenlong; Zhao, Tianzuo; Sun, Hao; Chen, Zhengguang; Chen, Limeng.
Affiliation
  • Hou Z; Department of Nephrology, Peking Union Medical College Hospital, Chinese Academy of Medical Sciences, Beijing, China.
  • Zhang G; Department of Radiology, Peking Union Medical College Hospital, Chinese Academy of Medical Sciences, Beijing, China.
  • Ma Y; Department of Nephrology, Peking Union Medical College Hospital, Chinese Academy of Medical Sciences, Beijing, China.
  • Xia P; Department of Nephrology, Peking Union Medical College Hospital, Chinese Academy of Medical Sciences, Beijing, China.
  • Shi X; Department of Nephrology, Peking Union Medical College Hospital, Chinese Academy of Medical Sciences, Beijing, China.
  • She W; Department of Radiology, Dongzhimen Hospital, Beijing University of Chinese Medicine, Beijing, China.
  • Zhao T; Department of Radiology, Dongzhimen Hospital, Beijing University of Chinese Medicine, Beijing, China.
  • Sun H; Department of Radiology, Peking Union Medical College Hospital, Chinese Academy of Medical Sciences, Beijing, China.
  • Chen Z; Department of Radiology, Dongzhimen Hospital, Beijing University of Chinese Medicine, Beijing, China.
  • Chen L; Department of Nephrology, Peking Union Medical College Hospital, Chinese Academy of Medical Sciences, Beijing, China.
Clin Kidney J ; 16(11): 2091-2099, 2023 Nov.
Article in En | MEDLINE | ID: mdl-37915907
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Full text: 1 Collection: 01-internacional Database: MEDLINE Language: En Journal: Clin Kidney J Year: 2023 Document type: Article Affiliation country: China Country of publication: Reino Unido
Fulltext
Add to My VHL
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Full text: 1 Collection: 01-internacional Database: MEDLINE Language: En Journal: Clin Kidney J Year: 2023 Document type: Article Affiliation country: China Country of publication: Reino Unido