Influence of the Depth of the Convolutional Neural Networks on an Artificial Intelligence Model for Diagnosis of Orthognathic Surgery

Influence of the Depth of the Convolutional Neural Networks on an Artificial Intelligence Model for Diagnosis of Orthognathic Surgery

The aim of this study was to investigate the relationship between image patterns in cephalometric radiographs and the diagnosis of orthognathic surgery and propose a method to improve the accuracy of predictive models according to the depth of the neural networks. The study included 640 and 320 pati...

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Bibliographic Details
Main Authors: Ye-Hyun Kim, Jae-Bong Park, Min-Seok Chang, Jae-Jun Ryu, Won Hee Lim, Seok-Ki Jung
Format: Article
Language:English
Published: MDPI AG 2021-04-01
Series:Journal of Personalized Medicine
Subjects:
artificial intelligence
deep learning
orthognathic surgery diagnosis
convolutional neural network
cephalometric analysis
Online Access:https://www.mdpi.com/2075-4426/11/5/356

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