Journal of Engineering and Applied Sciences

Year: 2019
Volume: 14
Issue: 21
Page No. 7870 - 7876

Deep Learning-based Finger Big ROIs Extraction for Bone Age Assessment in Smart Intelligence Systems

Authors : Chansu Lee and Byoung-Dai Lee

References

Anonymous, 2018. Graham scan. Wikimedia Foundation, Inc., San Francisco, California, USA. https://en.wikipedia.org/wiki/Graham_scan

Anonymous, 2018. Random sample consensus. Wikimedia Foundation Inc., San Francisco, California, USA.https://en.wikipedia.org/wiki/Random_sample_consensus

Anonymous, 2019. Precise bone age-for better patient care. Visiana, Agern Alle, Horsholm, Denmark. https://www.bonexpert.com/

Cootes, T.F., G.V. Wheeler, K.N. Walker and C.J. Taylor, 2002. View-based active appearance models. Image Vision Comput., 20: 657-664.
CrossRef  |  Direct Link  |  

Greulich, W.W. and S.I. Pyle, 1959. Radiograph Atlas of Skeletal Development of the Hand and Wrist. 2nd Edn., Stanford University Press, Palo Alto, California, USA., ISBN:9780804703987, Pages: 272.

Griffith, J.F., J.C.Y. Cheng and E. Wong, 2007. Are western skeletal age standards applicable to the Hong Kong Chinese population? A comparison of the Greulich and Pyle method and the Tanner and Whitehouse method. Hong Kong Med. J., 13: S28-S32.
Direct Link  |  

Lee, H., S. Tajmir, J. Lee, M. Zissen and B.A. Yeshiwas et al., 2017. Fully automated deep learning system for bone age assessment. J. Digital Imaging, 30: 427-441.
CrossRef  |  Direct Link  |  

Oh, Y.J., 2011. Development and evaluation of semi-automatic bone age estimation method. Master Thesis, Ewha Womans University, Seoul, South Korea.

Tanner, J.M., M.J.R. Healy, N. Cameron and H. Goldstein, 2001. Assessment of Skeletal Maturity and Prediction of Adult Height (TW3 Method). 3rd Edn., W.B. Saunders Company, Philadelphia, ISBN:9780702025112, Pages: 110.

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