Deep-Learning-Based Segmentation of Individual Tooth and Bone With Periodontal Ligament Interface Details for Simulation Purposes

Deep-Learning-Based Segmentation of Individual Tooth and Bone With Periodontal Ligament Interface Details for Simulation Purposes

The process of constructing precise geometry of human jaws from cone beam computed tomography (CBCT) scans is crucial for building finite element models and treatment planning. Despite the success of deep learning techniques, they struggle to accurately identify delicate features such as thin struct...

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Bibliographic Details
Main Authors: Peidi Xu, Torkan Gholamalizadeh, Faezeh Moshfeghifar, Sune Darkner, Kenny Erleben
Format: Article
Language:English
Published: IEEE 2023-01-01
Series:IEEE Access
Subjects:
Cone-beam computed tomography
deep learning
finite element modeling
human jaws
instance segmentation
learning with limited data
Online Access:https://ieeexplore.ieee.org/document/10256039/

Internet

https://ieeexplore.ieee.org/document/10256039/

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