BACKGROUND The assessment of bone age and skeletal maturity and its comparison to
chronological age is an important task in the medical environment for the diagnosis of …

Bone age assessments are a complicated and lengthy process, which are prone to inter-and
intra-observer variabilities. Despite the great demand for fully automated systems …

Assessment of skeletal maturity is important for a clinician to make a decision of the most
appropriate treatment on various skeletal disorders. This task is very challenging when …

Supplying a comprehensive overview of healthcare analytics research, Healthcare Data
Analytics provides an understanding of the analytical techniques currently available to solve …

Solving problems in medical image processing is either generic (being applicable to many
problems) or specific (optimized for a certain task). For example, bone age assessment …

Bone age assessment (BAA) based on hand X-ray imaging is a common clinical practice for
investigating disorders and predicting the adult height of a child. However, the traditional …

Bone age assessment plays an important role in the endocrinology and genetic
investigation of patients. In this paper, we proposed a deep learning-based approach for …

Deep learning technology has rapidly evolved in recent years. Bone age assessment (BAA)
is a typical object detection and classification problem that would benefit from deep learning …

Bone age assessment (BAA) is an essential topic in the clinical practice of evaluating the
biological maturity of children. Because the manual method is time‐consuming and prone to …

In this paper, we present an automated skeletal maturity recognition system that takes a
single hand radiograph as an input and finally output the bone age prediction. Unlike the …