Artificial Intelligence for 3D Reconstruction from 2D Panoramic X-rays to Assess Maxillary Impacted Canines

Artificial Intelligence for 3D Reconstruction from 2D Panoramic X-rays to Assess Maxillary Impacted Canines

The objective of this study was to explore the feasibility of current 3D reconstruction in assessing the position of maxillary impacted canines from 2D panoramic X-rays. A dataset was created using pre-treatment CBCT data from a total of 123 patients, comprising 74 patients with impacted canines and...

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Bibliographic Details
Main Authors: Sumeet Minhas, Tai-Hsien Wu, Do-Gyoon Kim, Si Chen, Yi-Chu Wu, Ching-Chang Ko
Format: Article
Language:English
Published: MDPI AG 2024-01-01
Series:Diagnostics
Subjects:
three-dimensional reconstruction
deep learning
maxillary impacted canines
dental reconstruction
Online Access:https://www.mdpi.com/2075-4418/14/2/196

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https://www.mdpi.com/2075-4418/14/2/196

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