BACKGROUND: Chest X-ray images are widely used to detect many different lung diseases.
However, reading chest X-ray images to accurately detect and classify different lung …

The clinical applications of brain age prediction have expanded, particularly in anticipating
the onset and prognosis of various neurodegenerative diseases. In the current study, we …

Deep learning has huge potential for accurate disease prediction with neuroimaging data,
but the prediction performance is often limited by training-dataset size and computing …

Background Chest x-rays are widely used in clinical practice; however, interpretation can be
hindered by human error and a lack of experienced thoracic radiologists. Deep learning has …

Skeletal bone age assessment is widely applied in growth prediction and auxiliary diagnosis
of medical problems. X-ray images of hands are observed in the evaluation of bone age …

The human face constitutes various biometric features that could be used to estimate
important details from humans, such as age. The automation of age estimation has been …

In this paper, we proposed an age assessment method evaluated on Malaysian children
aged between 1 and 17. The approach is based on global fuzzy segmentation, local feature …

Classification of diseases from biomedical images is a fast growing emerging field of
research. In this regard, chest X-Rays (CXR) are one of the most widely used medical …

Age has always been an important attribute of identity. It also has been an important factor in
social interaction. The posture, vocabulary, facial wrinkles and the intonation are all …

Chronological age estimation is crucial labour in many clinical procedures, where the teeth
have proven to be one of the best estimators. Although some methods to estimate the age …