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A real-time automated bone age assessment system based on the RUS-CHN method.
Yang, Chen; Dai, Wei; Qin, Bin; He, Xiangqian; Zhao, Wenlong.
Affiliation
  • Yang C; College of Medical Informatics, Chongqing Medical University, Chongqing, China.
  • Dai W; Medical Data Science Academy, Chongqing Medical University, Chongqing, China.
  • Qin B; Chongqing Engineering Research Center for Clinical Big-Data and Drug Evaluation, Chongqing, China.
  • He X; College of Medical Informatics, Chongqing Medical University, Chongqing, China.
  • Zhao W; Medical Data Science Academy, Chongqing Medical University, Chongqing, China.
Front Endocrinol (Lausanne) ; 14: 1073219, 2023.
Article in En | MEDLINE | ID: mdl-37008947
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Full text: 1 Collection: 01-internacional Database: MEDLINE Main subject: Age Determination by Skeleton / Neural Networks, Computer Type of study: Prognostic_studies Limits: Child / Humans Language: En Journal: Front Endocrinol (Lausanne) Year: 2023 Document type: Article Affiliation country:
Fulltext
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Full text: 1 Collection: 01-internacional Database: MEDLINE Main subject: Age Determination by Skeleton / Neural Networks, Computer Type of study: Prognostic_studies Limits: Child / Humans Language: En Journal: Front Endocrinol (Lausanne) Year: 2023 Document type: Article Affiliation country: