Micro–Computed Tomography–Guided Artificial Intelligence for Pulp Cavity and Tooth Segmentation on Cone-beam Computed Tomography

2021 ◽  
Author(s):  
Xiang Lin ◽  
Yujie Fu ◽  
Genqiang Ren ◽  
Xiaoyu Yang ◽  
Wei Duan ◽  
...  
Keyword(s):  
Artificial Intelligence ◽  
Computed Tomography ◽  
Cone Beam Computed Tomography ◽  
Cone Beam ◽  
Micro Computed Tomography ◽  
Pulp Cavity ◽  
Tooth Segmentation

Comparison of the Accuracy of 3-dimensional Cone-beam Computed Tomography and Micro–Computed Tomography Reconstructions by Using Different Voxel Sizes

2014 ◽  
Vol 40 (9) ◽  
pp. 1321-1326 ◽  
Author(s):  
Delphine Maret ◽  
Ove A. Peters ◽  
Antoine Galibourg ◽  
Jean Dumoncel ◽  
Rémi Esclassan ◽  
...  
Keyword(s):  
Computed Tomography ◽  
Cone Beam Computed Tomography ◽  
Cone Beam ◽  
Micro Computed Tomography ◽  
3 Dimensional ◽  
Dimensional Cone

A novel deep learning system for multi-class tooth segmentation and classification on cone beam computed tomography. A validation study

2021 ◽  
pp. 103865
Author(s):  
Eman Shaheen ◽  
André Leite ◽  
Khalid Ayidh Alqahtani ◽  
Andreas Smolders ◽  
Adriaan Van Gerven ◽  
...  
Keyword(s):  
Computed Tomography ◽  
Deep Learning ◽  
Cone Beam Computed Tomography ◽  
Validation Study ◽  
Learning System ◽  
Cone Beam ◽  
Tooth Segmentation

3D exemplar-based random walks for tooth segmentation from cone-beam computed tomography images

2016 ◽  
Vol 43 (9) ◽  
pp. 5040-5050 ◽  
Author(s):  
Yuru Pei ◽  
Xingsheng Ai ◽  
Hongbin Zha ◽  
Tianmin Xu ◽  
Gengyu Ma
Keyword(s):  
Computed Tomography ◽  
Random Walks ◽  
Cone Beam Computed Tomography ◽  
Cone Beam ◽  
Computed Tomography Images ◽  
Tooth Segmentation
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