Your browser doesn't support javascript.
loading
Development of a computer-aided tool for the pattern recognition of facial features in diagnosing Turner syndrome: comparison of diagnostic accuracy with clinical workers.
Chen, Shi; Pan, Zhou-Xian; Zhu, Hui-Juan; Wang, Qing; Yang, Ji-Jiang; Lei, Yi; Li, Jian-Qiang; Pan, Hui.
Affiliation
  • Chen S; Department of Endocrinology, Endocrine Key Laboratory of Ministry of Health, Peking Union Medical College Hospital (PUMCH), Chinese Academy of Medical Sciences & Peking Union Medical College (CAMS & PUMC), Beijing, 100730, China.
  • Pan ZX; National Virtual Simulation Laboratory Education Center of Medical Sciences, PUMCH, CAMS & PUMC, Beijing, 100730, China.
  • Zhu HJ; Eight-year Program of Clinical Medicine, PUMCH, CAMS & PUMC, Beijing, 100730, China.
  • Wang Q; Department of Endocrinology, Endocrine Key Laboratory of Ministry of Health, Peking Union Medical College Hospital (PUMCH), Chinese Academy of Medical Sciences & Peking Union Medical College (CAMS & PUMC), Beijing, 100730, China.
  • Yang JJ; Research Institute of Informaiton and Technology, Tsinghua University, Beijing, 100084, China.
  • Lei Y; Wuxi Research Institute of Applied Technologies, Tsinghua University, Wuxi, 214072, China.
  • Li JQ; Research Institute of Informaiton and Technology, Tsinghua University, Beijing, 100084, China.
  • Pan H; School of Software, North University of China, Taiyuan, 030051, China.
Sci Rep ; 8(1): 9317, 2018 06 18.
Article in En | MEDLINE | ID: mdl-29915349
Subject(s)
Fulltext
Add to My VHL
Print
XML
PubMed Links
Search on Google

Full text: 1 Collection: 01-internacional Database: MEDLINE Main subject: Physicians / Students, Medical / Turner Syndrome / Computers / Pattern Recognition, Automated / Face Type of study: Diagnostic_studies / Observational_studies Limits: Child / Female / Humans Language: En Journal: Sci Rep Year: 2018 Document type: Article Affiliation country: China Country of publication: United kingdom
Fulltext
Add to My VHL
Print
XML
PubMed Links
Search on Google

Full text: 1 Collection: 01-internacional Database: MEDLINE Main subject: Physicians / Students, Medical / Turner Syndrome / Computers / Pattern Recognition, Automated / Face Type of study: Diagnostic_studies / Observational_studies Limits: Child / Female / Humans Language: En Journal: Sci Rep Year: 2018 Document type: Article Affiliation country: China Country of publication: United kingdom