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CTooth+: A Large-scale Dental Cone Beam Computed Tomography Dataset and Benchmark for Tooth Volume Segmentation. (arXiv:2208.01643v1 [eess.IV])
Aug. 4, 2022, 1:12 a.m. | Weiwei Cui, Yaqi Wang, Yilong Li, Dan Song, Xingyong Zuo, Jiaojiao Wang, Yifan Zhang, Huiyu Zhou, Bung san Chong, Liaoyuan Zeng, Qianni Zhang
cs.CV updates on arXiv.org arxiv.org
Accurate tooth volume segmentation is a prerequisite for computer-aided
dental analysis. Deep learning-based tooth segmentation methods have achieved
satisfying performances but require a large quantity of tooth data with ground
truth. The dental data publicly available is limited meaning the existing
methods can not be reproduced, evaluated and applied in clinical practice. In
this paper, we establish a 3D dental CBCT dataset CTooth+, with 22 fully
annotated volumes and 146 unlabeled volumes. We further evaluate several
state-of-the-art tooth volume segmentation …
More from arxiv.org / cs.CV updates on arXiv.org
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