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Research Progress on Automatic Assessment of Bone Age.
Zhan, M J; Zhang, S J; Chen, H; Ning, G; Deng, Z H.
Afiliación
  • Zhan MJ; West China School of Basic Medical Sciences & Forensic Medicine, Sichuan University, Chengdu 610041, China.
  • Zhang SJ; National Key Laboratory of Fundamental Science on Synthetic Vision, Sichuan University, Chengdu 610065, China.
  • Chen H; College of Computer Science, Sichuan University, Chengdu 610065, China.
  • Ning G; Department of Radiology, West China Second University Hospital, Sichuan University, Chengdu 610041, China.
  • Deng ZH; West China School of Basic Medical Sciences & Forensic Medicine, Sichuan University, Chengdu 610041, China.
Fa Yi Xue Za Zhi ; 36(2): 249-255, 2020 Apr.
Article en En, Zh | MEDLINE | ID: mdl-32530176
ABSTRACT
ABSTRACT Bone age is an important indicator of human growth and development, which can objectively reflect the growth level and maturity of individuals. Traditional manual bone age assessment usually compares the X-ray of the left wrist with the reference standard to obtain the corresponding bone age. This method is time-consuming and its results vary with different observers. In recent years, with the continuous development of computer science, bone age assessment has began to change from traditional manual assessment to automatic assessment. Although there has already been numerous researches on automatic bone age assessment, most of them are still in the experimental stage. This paper reviews related research and progress on automatic bone age assessment at home and abroad in recent years, in order to provide reference and research ideas for relevant researchers.
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Texto completo: 1 Base de datos: MEDLINE Asunto principal: Determinación de la Edad por el Esqueleto Idioma: En / Zh Revista: Fa Yi Xue Za Zhi Asunto de la revista: JURISPRUDENCIA Año: 2020 Tipo del documento: Article

Texto completo: 1 Base de datos: MEDLINE Asunto principal: Determinación de la Edad por el Esqueleto Idioma: En / Zh Revista: Fa Yi Xue Za Zhi Asunto de la revista: JURISPRUDENCIA Año: 2020 Tipo del documento: Article