Abstract Bone Age Assessment (BAA) is a method used to assess the degree of
development of adolescents. Existing Bone Age Assessment deep learning models require …

Objective To develop a deep-learning-based bone age prediction model optimized for
Korean children and adolescents and evaluate its feasibility by comparing it with a Greulich …

Skeletal bone age assessment (BAA), as an essential imaging examination, aims at
evaluating the biological and structural maturation of human bones. In the clinical practice …

Machine learning has gradually but firmly established itself in our daily lives. Similar to how
it has a lot of potential to complement medical science. The suggested study creates a …

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

In this paper, the convolutional neural network based on deep learning theory is innovatively
used to extract and classify the features of X-ray film of hand, and then to assess the age of …

Bone age assessment based on hand X‐ray imaging is important in pediatry medicine. At
present, prediction of bone age is mainly performed by the manual comparison with the …

A common clinical method for identifying anomalies in bone growth in infants and newborns
is skeletal age estimation with X-ray images. Children's bone abnormalities can result from …

Objectives A diagnostic need often arises to estimate bone age from X-ray images of the
hand of a subject during the growth period. Together with measured physical height, such …

Accepted: 2 December 2021 Bone age is estimated in pediatric medicine for medical and
legal purposes. In pediatric medicine, it aids in the growth and development assessment of …