Automated CNN-Based Tooth Segmentation in Cone-Beam CT for Dental Implant Planning

Automated CNN-Based Tooth Segmentation in Cone-Beam CT for Dental Implant Planning

Accurate tooth segmentation is an essential step for reconstructing the three-dimensional tooth models used in various clinical applications. In this paper, we propose a convolutional neural network (CNN) based method for fully-automatic tooth segmentation with multi-phase training and preprocessing...

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Bibliographic Details
Main Authors: S. Lee, S. Woo, J. Yu, J. Seo, J. Lee, C. Lee
Format: Article
Language:English
Published: IEEE 2020-01-01
Series:IEEE Access
Subjects:
Cone-beam computed tomography
convolutional neural network
network regularization
posterior probability
tooth segmentation
Online Access:https://ieeexplore.ieee.org/document/9007457/

Internet

https://ieeexplore.ieee.org/document/9007457/

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