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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| Main Authors: | , , , , , |
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| Format: | article |
| Language: | EN |
| Published: |
IEEE
2020
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| Subjects: | |
| Online Access: | https://doaj.org/article/9201217d06c044709e92399ac5079d48 |
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