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Artificial intelligence with a deep learning network for the quantification and distinction of functional adrenal tumors based on contrast-enhanced CT images.
Alimu, Parehe; Fang, Chen; Han, Yingnan; Dai, Jun; Xie, Chunmei; Wang, Jiyong; Mao, Yongxin; Chen, Yunmeng; Yao, Lu; Lv, Chuanfeng; Xu, Danfeng; Xie, Guotong; Sun, Fukang.
Affiliation
  • Alimu P; Department of Urology, Ruijin Hospital, Shanghai Jiao Tong University, School of Medicine, Shanghai, China.
  • Fang C; Shanghai Municipal Hospital of Traditional Chinese Medicine, Shanghai University of Traditional Chinses Medicine, Shanghai, China.
  • Han Y; Department of Urology, Ruijin Hospital, Shanghai Jiao Tong University, School of Medicine, Shanghai, China.
  • Dai J; Ping An Healthcare Technology Co., Ltd., Shanghai, China.
  • Xie C; Department of Urology, Ruijin Hospital, Shanghai Jiao Tong University, School of Medicine, Shanghai, China.
  • Wang J; Ping An Healthcare Technology Co., Ltd., Shanghai, China.
  • Mao Y; Ping An Healthcare Technology Co., Ltd., Shanghai, China.
  • Chen Y; Department of Urology, Ruijin Hospital, Shanghai Jiao Tong University, School of Medicine, Shanghai, China.
  • Yao L; Ping An Healthcare Technology Co., Ltd., Shanghai, China.
  • Lv C; School of Software Tsinghua University, Beijing, China.
  • Xu D; Ping An Healthcare Technology Co., Ltd., Shanghai, China.
  • Xie G; Nanjing University of information Science & Technology, Nanjing, China.
  • Sun F; Ping An Healthcare Technology Co., Ltd., Shanghai, China.
Quant Imaging Med Surg ; 13(4): 2675-2687, 2023 Apr 01.
Article in En | MEDLINE | ID: mdl-37064374
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Full text: 1 Collection: 01-internacional Database: MEDLINE Type of study: Observational_studies / Prognostic_studies Language: En Journal: Quant Imaging Med Surg Year: 2023 Document type: Article Affiliation country: China Country of publication: China
Fulltext
Add to My VHL
Print
XML
PubMed Links
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Full text: 1 Collection: 01-internacional Database: MEDLINE Type of study: Observational_studies / Prognostic_studies Language: En Journal: Quant Imaging Med Surg Year: 2023 Document type: Article Affiliation country: China Country of publication: China