DocumentCode
3598107
Title
Development of the cloud platform for bone age assessment based on tanner and whitehouse method
Author
Chi-Wen Hsieh ; Tai-Lang Jong ; Chih-Sheng Yang
Author_Institution
Dept. of Electr. Eng., Nat. Chiayi Univ., Chiayi, Taiwan
Volume
3
fYear
2013
Firstpage
1185
Lastpage
1188
Abstract
Bone age assessment (BAA) is the very important procedure to evaluate the growth situation of children in clinics. Tanner-Whitehouse III (TW3) method is one of methods for determining the skeletal maturation of children. However, this method is time-consuming so that it is not widely used by pediatricians and radiologists, but alleviating subjectivity influences is a tremendous advantage for BAA. In the study, the BAA cloud platform was developed. This platform was achieved by Hypertext Preprocessor (PHP) and MySQL software. Moreover, all standard pattern and related scoring tables, including radius, ulna and short bone (RUS) system and carpals only system, from TW3 atlas have been integrated in this platform. Besides, friendly graphic user interfaces, authority demarcation and tutorial system were developed in the platform. The results showed that the BAA cloud platform can help physicians and radiologists to determine the skeletal maturation of children efficiently, and assist the junior physicians to make the accurate evaluation of bone age easily.
Keywords
bone; cloud computing; graphical user interfaces; medical computing; paediatrics; BAA cloud platform; MySQL software; PHP software; RUS system; TW3 method; Tanner-Whitehouse III method; authority demarcation; bone age assessment; carpals only system; children growth situation evaluation; children skeletal maturation; cloud platform; graphic user interfaces; hypertext preprocessor software; pediatricians; radiologists; radius ulna and short bone system; tutorial system; Abstracts; Biomedical imaging; Educational institutions; Pediatrics; Reliability; Bone age assessment; Cloud computing; MySQL; PHP; Tanner-Whitehouse method;
fLanguage
English
Publisher
ieee
Conference_Titel
Machine Learning and Cybernetics (ICMLC), 2013 International Conference on
Type
conf
DOI
10.1109/ICMLC.2013.6890770
Filename
6890770
Link To Document