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Forensic age estimation for pelvic X-ray images using deep learning.
Li, Yuan; Huang, Zhizhong; Dong, Xiaoai; Liang, Weibo; Xue, Hui; Zhang, Lin; Zhang, Yi; Deng, Zhenhua.
Afiliação
  • Li Y; Department of Forensic Genetics, West China School of Preclinical and Forensic Medicine, Sichuan University, Chengdu, 610041, Sichuan, People's Republic of China.
  • Huang Z; Department of Forensic Pathology, West China School of Preclinical and Forensic Medicine, Sichuan University, No. three, 17 South Renmin Road, Wuhou District, Chengdu City, 610041, Sichuan, People's Republic of China.
  • Dong X; College of Computer Science, Sichuan University, No.24 South Section 1, Yihuan Road, Chengdu, 610065, China.
  • Liang W; Department of Forensic Pathology, West China School of Preclinical and Forensic Medicine, Sichuan University, No. three, 17 South Renmin Road, Wuhou District, Chengdu City, 610041, Sichuan, People's Republic of China.
  • Xue H; Department of Forensic Genetics, West China School of Preclinical and Forensic Medicine, Sichuan University, Chengdu, 610041, Sichuan, People's Republic of China.
  • Zhang L; Department of Radiology, West China Hospital, Sichuan University, Chengdu, 610041, Sichuan, People's Republic of China.
  • Zhang Y; Department of Forensic Genetics, West China School of Preclinical and Forensic Medicine, Sichuan University, Chengdu, 610041, Sichuan, People's Republic of China.
  • Deng Z; College of Computer Science, Sichuan University, No.24 South Section 1, Yihuan Road, Chengdu, 610065, China. yzhang@scu.edu.cn.
Eur Radiol ; 29(5): 2322-2329, 2019 May.
Article em En | MEDLINE | ID: mdl-30402703
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Texto completo: 1 Base de dados: MEDLINE Assunto principal: Ossos Pélvicos / Determinação da Idade pelo Esqueleto / Aprendizado Profundo Idioma: En Ano de publicação: 2019 Tipo de documento: Article
Texto completo
Imprimir
XML
PubMed Links
Buscar no Google

Texto completo: 1 Base de dados: MEDLINE Assunto principal: Ossos Pélvicos / Determinação da Idade pelo Esqueleto / Aprendizado Profundo Idioma: En Ano de publicação: 2019 Tipo de documento: Article