Table of Contents
ISRN Radiology
Volume 2013, Article ID 874570, 8 pages
Research Article

Automated Determination of Bone Age in a Modern Chinese Population

1Hebei Research Institute of Sports Sciences, 372 Zhongshan East Road, Shijiazhuang, Hebei 050011, China
2Dalian Sports Science Research Institute, 31 Shikui Road, Dalian, Liaoning 116011, China
3Wenzhou Sports Science Research Institute, 22 Youyongqiao Road, Wenzhou, Zhejiang 325000, China
4Shanghai Sports Sciences Research Institute, 87 Wuxing Road, Shanghai 200030, China
5Guangdong Sports Science Research Institute, 818 Aoti Road, Guangzhou, Guangdong 510663, China
6Visiana, Søllerødvej 57 C, 2840 Holte, Denmark

Received 30 November 2012; Accepted 20 December 2012

Academic Editors: G. Borasi and S. Mori

Copyright © 2013 Shao-Yan Zhang et al. This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

Citations to this Article [7 citations]

The following is the list of published articles that have cited the current article.

  • Mari Satoh, “Bone age: assessment methods and clinical applications.,” Clinical pediatric endocrinology : case reports and clinical investigations : official journal of the Japanese Society for Pediatric Endocrinology, vol. 24, no. 4, pp. 143–52, 2015. View at Publisher · View at Google Scholar
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  • Ji Zhang, Fangqin Lin, and Xiaoyi Ding, “Maturation Disparity between Hand-Wrist Bones in a Chinese Sample of Normal Children: An Analysis Based on Automatic BoneXpert and Manual Greulich and Pyle Atlas Assessment,” Korean Journal of Radiology, vol. 17, no. 3, pp. 435, 2016. View at Publisher · View at Google Scholar
  • Thiago O. Artioli, Matheus A. Alvares, Vanessa S. Carvalho Macedo, Tatiane S. Silva, Roberto Avritchir, Cristiane Kochi, and Carlos A. Longui, “Bone age determination in eutrophic, overweight and obese Brazilian children and adolescents: a comparison between computerized BoneXpert and Greulich-Pyle methods,” Pediatric Radiology, 2019. View at Publisher · View at Google Scholar
  • Shaomeng Cao, Zhiye Chen, Congsheng Li, Chuanfeng Lv, Tongning Wu, and Bin Lv, “Landmark‐based multi‐region ensemble convolutional neural networks for bone age assessment,” International Journal of Imaging Systems and Technology, 2019. View at Publisher · View at Google Scholar
  • Christian Booz, Julian L. Wichmann, Sabine Boettger, Ahmed Al Kamali, Simon S. Martin, Lukas Lenga, Doris Leithner, Moritz H. Albrecht, Hanns Ackermann, Thomas J. Vogl, Boris Bodelle, and Benjamin Kaltenbach, “Evaluation of a Computer-Aided Diagnosis System for Automated Bone Age Assessment in Comparison to the Greulich-Pyle Atlas Method,” Journal of Computer Assisted Tomography, vol. 43, no. 1, pp. 39–45, 2019. View at Publisher · View at Google Scholar