Cephalometric Variables Prediction from Lateral Photographs Between Different Skeletal Patterns Using Regression Artificial Neural Networks
Objective: This study aimed to design an artificial neural network for the prediction of cephalometric variables via a lateral photograph in skeletal Class I, II, and III patterns.Methods: A total of 94 patients were recruited for this prospective study, with an age range of 15-20 years (41 boys and...
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| Main Authors: | , , |
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| Format: | Book |
| Published: |
Galenos Yayinevi,
2022-06-01T00:00:00Z.
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| Online Access: | Connect to this object online. |
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Internet
Connect to this object online.3rd Floor Main Library
| Call Number: |
A1234.567 |
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| Copy 1 | Available |