论文标题
牙齿3DS+：用于口内3D扫描分析的扩展基准
Teeth3DS+: An Extended Benchmark for Intraoral 3D Scans Analysis
论文作者
论文摘要
口腔内3D扫描分析是计算机辅助牙科（CAD）系统的一个基本方面，在各种牙科应用中起着至关重要的作用，包括牙齿分割，检测，标签和牙科地标识别。对3D牙科扫描的准确分析对于正畸和假肢治疗计划至关重要，因为它可以实现自动化处理并减少牙科专业人员对手动调整的需求。但是，由于高质量的公共数据集和基准的可用性有限，因此为这些任务开发强大的自动化工具仍然是一个重大挑战。本文介绍了牙齿3DS+，这是第一个旨在推进口腔内3D扫描分析领域的全面公共基准。牙齿3DS+旨在推动牙齿识别，分割，标签，3D建模和牙科地标识别的研究，作为3dteethseg 2022和3dteethland 2024 Miccai挑战的一部分开发。该数据集包括从900名患者中收集的至少1,800次口腔内扫描（包含23,999个注释的牙齿），分别覆盖上颌骨。所有数据均已由经验丰富的正畸医生和牙科医生获得和验证，具有超过五年的专业知识。访问数据集的详细说明可在https://crns-smartvision.github.io/teeth3ds上找到
Intraoral 3D scans analysis is a fundamental aspect of Computer-Aided Dentistry (CAD) systems, playing a crucial role in various dental applications, including teeth segmentation, detection, labeling, and dental landmark identification. Accurate analysis of 3D dental scans is essential for orthodontic and prosthetic treatment planning, as it enables automated processing and reduces the need for manual adjustments by dental professionals. However, developing robust automated tools for these tasks remains a significant challenge due to the limited availability of high-quality public datasets and benchmarks. This article introduces Teeth3DS+, the first comprehensive public benchmark designed to advance the field of intraoral 3D scan analysis. Developed as part of the 3DTeethSeg 2022 and 3DTeethLand 2024 MICCAI challenges, Teeth3DS+ aims to drive research in teeth identification, segmentation, labeling, 3D modeling, and dental landmarks identification. The dataset includes at least 1,800 intraoral scans (containing 23,999 annotated teeth) collected from 900 patients, covering both upper and lower jaws separately. All data have been acquired and validated by experienced orthodontists and dental surgeons with over five years of expertise. Detailed instructions for accessing the dataset are available at https://crns-smartvision.github.io/teeth3ds
