Automated description of the mandible shape by deep learning.

ABSTRACT:

Purpose

The shape of the mandible has been analyzed in a variety of fields, whether to diagnose conditions like osteoporosis or osteomyelitis, in forensics, to estimate biological information such as age, gender, and race or in orthognathic surgery. Although the methods employed produce encouraging results, most rely on the dry bone analyses or complex imaging techniques that, ultimately, hamper sample collection and, as a consequence, the development of large-scale studies. Thus, we proposed an objective, repeatable, and fully automatic approach to provide a quantitative description of the mandible in orthopantomographies (OPGs).

Methods

We proposed the use of a deep convolutional neural network (CNN) to localize a set of landmarks of the mandible contour automatically from

SUBMITTER: Vila-Blanco N 

PROVIDER: S-EPMC8616887 | biostudies-literature | 2021 Dec

REPOSITORIES: biostudies-literature