Bone age assessment from lateral cephalograms using deep learning algorithms in the Indian population.
Journal:
Indian journal of dental research : official publication of Indian Society for Dental Research
Published Date:
Jan 1, 2022
Abstract
PURPOSE: The assessment of bone age has applications in a wide variety of fields: from orthodontics to immigration. The traditional non-automated methods are time-consuming and subject to inter- and intra-observer variability. This is the first study of its kind done on the Indian population. In this study, we analyse different pre-processing techniques and architectures to determine the degree of maturation (i.e. cervical vertebral maturation [CVM]) from cephalometric radiographs using machine learning algorithms.