Bone age is one of biological indicators of maturity used in clinical practice and it is a very
important parameter of a child's assessment, especially in paediatric endocrinology. The …

Skeletal bone age assessment is a common clinical practice to investigate endocrinology,
genetic and growth disorders in children. It is generally performed by radiological …

This paper represents the first survey on the application of AI techniques for the analysis of
biomedical images with forensic human identification purposes. Human identification is of …

Rapid and accurate measurement of bone age from hand X-ray images is a significant task
for children's maturity assessment and metabolic disorders diagnosis. With the development …

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 …

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 …

This paper presents an automatic system for bone age evaluation according to the clinical
method of Tanner and Whitehouse (TW2), based on the integration between two systems …

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 …

Bone age assessment (BAA) has various clinical applications such as diagnosis of
endocrine disorders and prediction of final adult height for adolescents. Recent studies …

Objective Bone age prediction can be performed by medical experts manually assessment
of X-ray images of the hand bone. In practice, the workload is huge, resource consumption is …