We have detected that you are using an Ad Blocker.
PracticeUpdate is free to end users but we rely on advertising to fund our site. Please consider supporting PracticeUpdate by whitelisting us in your ad blocker.
We have sent a message to the email address you have provided, . If this email is not correct, please update your settings with your correct address.
The email address you provided during registration, , does not appear to be valid. Please update your settings with a valid address before to continue using PracticeUpdate.
Please provide your AHPRA Number to ensure that you are given the correct level of access to our site.
featured
Published in Clinical Dentistry

Journal Scan / Research · February 17, 2022

Accuracy of a One-Step Automated Orthodontic Diagnosis Model Using a Convolutional Neural Network and Lateral Cephalometric Images

Korean Journal of Orthodontics

 

Additional Info

Korean Journal of Orthodontics
Accuracy of one-step automated orthodontic diagnosis model using a convolutional neural network and lateral cephalogram images with different qualities obtained from nationwide multi-hospitals
Korean J Orthod 2022 Jan 25;52(1)3-19, S Yim, S Kim, I Kim, JW Park, JH Cho, M Hong, KH Kang, M Kim, SJ Kim, YJ Kim, YH Kim, SH Lim, SJ Sung, N Kim, SH Baek

From MEDLINE®/PubMed®, a database of the U.S. National Library of Medicine.

Further Reading