TY  - JOUR
T1  - Wrist Big ROI Extraction for Bone Age Assessment in Smart Intelligence Systems
AU - Kim, Namgi AU - Song, Youngmin 
JO  - Journal of Engineering and Applied Sciences
VL  - 14
IS  - 12
SP  - 4027
EP  - 4034
PY  - 2019
DA  - 2001/08/19
SN  - 1816-949x
DO  - jeasci.2019.4027.4034
UR  - https://makhillpublications.co/view-article.php?doi=jeasci.2019.4027.4034
KW  - Wrist big ROI
KW  -TW3
KW  -bone age assessment
KW  -smart intelligence systems
KW  -wrist
KW  -puberty
AB  - Recently, the number of children receiving medical treatment because of precocious puberty has
increased. One diagnosis method for detecting precocious puberty is a bone age assessment which evaluates
a child’s bone age by observing the shape of bones and joints. In this study, we developed a process to extract
wrist big Region of Interest (ROI) to help extract 2 assessed bones required for the Tanner-Whitehouse 3 (TW3)
assessment. We investigate the test methods and results for the algorithm derived from various tests. Through
various methodologies, the wrist big ROI are obtained among which the 13 assessed bones in the wrist required
by TW3 are included.
ER  -