3DTeethSeg'22：3D牙齿扫描分割与标注挑战赛
计算机视觉与模式识别
2023-05-30 v1 人工智能
摘要
从口内3D扫描中进行牙齿定位、分割与标注是现代牙科中增强牙科诊断、治疗规划和基于人群的口腔健康研究的基础任务。然而，由于牙齿解剖结构、成像协议的变化以及公开可用数据的有限性，开发用于牙齿分析的自动化算法面临重大挑战。为应对这些挑战，3DTeethSeg'22挑战赛于2022年与国际医学图像计算与计算机辅助干预会议（MICCAI）联合举办，征集从口内3D扫描中解决牙齿定位、分割与标注的算法。我们准备了一个包含来自900名患者的共1800次扫描的数据集，每颗牙齿均由人机混合算法单独标注。共有6种算法在该数据集上进行了评估。在本研究中，我们呈现3DTeethSeg'22挑战赛的评估结果。3DTeethSeg'22挑战赛代码可访问：https://github.com/abenhamadou/3DTeethSeg22_challenge
引用
@article{arxiv.2305.18277,
title = {3DTeethSeg'22: 3D Teeth Scan Segmentation and Labeling Challenge},
author = {Achraf Ben-Hamadou and Oussama Smaoui and Ahmed Rekik and Sergi Pujades and Edmond Boyer and Hoyeon Lim and Minchang Kim and Minkyung Lee and Minyoung Chung and Yeong-Gil Shin and Mathieu Leclercq and Lucia Cevidanes and Juan Carlos Prieto and Shaojie Zhuang and Guangshun Wei and Zhiming Cui and Yuanfeng Zhou and Tudor Dascalu and Bulat Ibragimov and Tae-Hoon Yong and Hong-Gi Ahn and Wan Kim and Jae-Hwan Han and Byungsun Choi and Niels van Nistelrooij and Steven Kempers and Shankeeth Vinayahalingam and Julien Strippoli and Aurélien Thollot and Hugo Setbon and Cyril Trosset and Edouard Ladroit},
journal= {arXiv preprint arXiv:2305.18277},
year = {2023}
}
备注
29 pages, MICCAI 2022 Singapore, Satellite Event, Challenge