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CTooth: A Fully Annotated 3D Dataset and Benchmark for Tooth Volume Segmentation on Cone Beam Computed Tomography Images. (arXiv:2206.08778v1 [cs.CV])
Web: http://arxiv.org/abs/2206.08778
June 20, 2022, 1:13 a.m. | Weiwei Cui, Yaqi Wang, Qianni Zhang, Huiyu Zhou, Dan Song, Xingyong Zuo, Gangyong Jia, Liaoyuan Zeng
cs.CV updates on arXiv.org arxiv.org
3D tooth segmentation is a prerequisite for computer-aided dental diagnosis
and treatment. However, segmenting all tooth regions manually is subjective and
time-consuming. Recently, deep learning-based segmentation methods produce
convincing results and reduce manual annotation efforts, but it requires a
large quantity of ground truth for training. To our knowledge, there are few
tooth data available for the 3D segmentation study. In this paper, we establish
a fully annotated cone beam computed tomography dataset CTooth with tooth gold
standard. This dataset …
More from arxiv.org / cs.CV updates on arXiv.org
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