Web-based fully automated cephalometric analysis by deep learning
135 Citations•2020•
Hannah Kim, Eungjune Shim, Jungeun Park
A fully automated cephalometric analysis method using deep learning and a corresponding web-based application that can be used without high-specification hardware is developed to save time and effort for manual marking and diagnosis.
Abstract
We expect that this fully automated cephalometric analysis algorithm and the web-based application can be widely used in various medical environments to save time and effort for manual marking and diagnosis.