Department of Information System, Faculty of Computer Science and Information Technology, University of Malaya, 50603 Pantai Valley, Kuala Lumpur, Malaysia.
Department of Artificial Intelligence, Faculty of Computer Science and Information Technology, University of Malaya, 50603 Pantai Valley, Kuala Lumpur, Malaysia.
Comput Math Methods Med. 2013;2013:391626. doi: 10.1155/2013/391626. Epub 2013 Dec 16.
Bone age assessment (BAA) of unknown people is one of the most important topics in clinical procedure for evaluation of biological maturity of children. BAA is performed usually by comparing an X-ray of left hand wrist with an atlas of known sample bones. Recently, BAA has gained remarkable ground from academia and medicine. Manual methods of BAA are time-consuming and prone to observer variability. This is a motivation for developing automated methods of BAA. However, there is considerable research on the automated assessment, much of which are still in the experimental stage. This survey provides taxonomy of automated BAA approaches and discusses the challenges. Finally, we present suggestions for future research.
对未知人群进行骨龄评估（BAA）是儿童生物学成熟度评估临床程序中最重要的课题之一。BAA 通常通过将左手腕 X 光片与已知样本骨的图谱进行比较来完成。最近，BAA 在学术界和医学界得到了显著的重视。BAA 的手动方法既耗时又容易受到观察者的变化影响。这也是开发 BAA 自动化方法的动机之一。然而，已经有相当多的关于自动化评估的研究，其中许多仍处于实验阶段。本调查提供了 BAA 自动化方法的分类法，并讨论了所面临的挑战。最后，我们提出了对未来研究的建议。
