@article{MAKHILLJEAS2019141217956,
    title = {Wrist Big ROI Extraction for Bone Age Assessment in Smart Intelligence Systems},
    journal = {Journal of Engineering and Applied Sciences},
    volume = {14},
    number = {12},
    pages = {4027-4034},
    year = {2019},
    issn = {1816-949x},
    doi = {jeasci.2019.4027.4034},
    url = {https://makhillpublications.co/view-article.php?issn=1816-949x&doi=jeasci.2019.4027.4034},
    author = {Namgi and},
    keywords = {Wrist big ROI,TW3,bone age assessment,smart intelligence systems,wrist,puberty},
    abstract = {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.}
    }