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General Information
    • ISSN: 1793-8244
    • Frequency: Semiyearly
    • DOI: 10.18178/JACN
    • Editor-in-Chief: Dr. Ka Wai Gary Wong
    • Executive Editor: Ms. Nina Lee
    • Abstracting/ Indexing: EI (INSPEC, IET), Engineering & Technology Digital Library, DOAJ, Electronic Journals Library, Ulrich's Periodicals Directory, International Computer Science Digital Library (ICSDL), ProQuest, and Google Scholar.
    • E-mail: jacn@ejournal.net
Dr. Ka Wai Gary Wong
Division of Information and Technology Studies, Faculty of Education, The University of Hong Kong.
It's a honor to serve as the editor-in-chief of JACN. I'll work together with the editors and reviewers to help the journal progress
JACN 2014 Vol.2(1): 14-17 ISSN: 1793-8244
DOI: 10.7763/JACN.2014.V2.73

Methods Used in Computer-Assisted Bone Age Assessment of Children

Sema Aydoğdu and Fatih Başçiftçi
Abstract—For many years, various studies have been conducted to determine methods to identify the age of living persons. Nowadays, the method most commonly used for the identification of age is bone age assessment. Bone age assessment is a method that is very frequently used in forensic cases and by child development specialists. However, the decision process in these assessments depends on the observations of a specialist; hence, the assessment results may vary from one specialist to another. The purpose of automatic assessment with computers is to render the decision process more objective, and to consequently allow more consistent results to be obtained. Studies in this area have drawn considerable attention to automatic assessment methods, especially following the developments in the area of image processing. In the current study, the Greulich-Pyle (GP) and the Tanner-Whitehouse (TW) methods used in computer-assisted bone age assessment were presented, and information was also provided regarding the automation of these methods.

Index Terms—Bone age assessment, Greulich-Pyle method, Tanner-Whitehouse method, TW3.

S. Aydoğdu is with the Fatih Technical High School , Konya, 42003 Turkey (e-mail: sema_ayd@hotmail.com).
F. Başçiftçi is with the Faculty of Technology, Selcuk University, Konya 42003 Turkey (e-mail: basciftci@selcuk.edu.tr).


Cite:Sema Aydoğdu and Fatih Başçiftçi, "Methods Used in Computer-Assisted Bone Age Assessment of Children," Journal of Advances in Computer Networks vol. 2, no. 1, pp. 14-17, 2014.

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