Verification of Convolutional Neural Network Cephalometric Landmark Identification

Verification of Convolutional Neural Network Cephalometric Landmark Identification

<b>Introduction</b>: The mass-harvesting of digitized medical data has prompted their use as a clinical and research tool. The purpose of this study was to compare the accuracy and reliability of artificial intelligence derived cephalometric landmark identification with that of human obs...

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Bibliographic Details
Main Authors: Moshe Davidovitch, Tatiana Sella-Tunis, Liat Abramovicz, Shoshana Reiter, Shlomo Matalon, Nir Shpack
Format: Article
Language:English
Published: MDPI AG 2022-12-01
Series:Applied Sciences
Subjects:
artificial intelligence
convolutional neural networks
lateral cephalometric radiographs
diagnostics
Online Access:https://www.mdpi.com/2076-3417/12/24/12784

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