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A benchmark for comparison of dental radiography analysis algorithms

机译：牙科放射线照相分析算法比较的基准

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摘要

Dental radiography plays an important role in clinical diagnosis, treatment and surgery. In recent years, efforts have been made on developing computerized dental X-ray image analysis systems for clinical usages. A novel framework for objective evaluation of automatic dental radiography analysis algorithms has been established under the auspices of the IEEE International Symposium on Biomedical Imaging 2015 Bitewing Radiography Caries Detection Challenge and Cephalometric X-ray Image Analysis Challenge. In this article, we present the datasets, methods and results of the challenge and lay down the principles for future uses of this benchmark. The main contributions of the challenge include the creation of the dental anatomy data repository of bitewing radiographs, the creation of the anatomical abnormality classification data repository of cephalometric radiographs, and the definition of objective quantitative evaluation for comparison and ranking of the algorithms. With, this benchmark, seven automatic methods for analysing cephalometric X-ray image and two automatic methods for detecting bitewing radiography caries have been compared, and detailed quantitative evaluation results are presented in this paper. Based on the quantitative evaluation results, we believe automatic dental radiography analysis is still a challenging and unsolved problem. The datasets and the evaluation software will be made available to the research community, further encouraging future developments in this field. (http://www-o.ntust.edu.tw/(similar to)cweiwang/ISBI2015/) (C) 2016 The Authors. Published by Elsevier B.V.
机译：牙科放射照相在临床诊断，治疗和手术中起着重要作用。近年来，已经致力于开发用于临床用途的计算机牙科X射线图像分析系统。在IEEE国际生物医学影像研讨会2015咬合射线照相龋检测挑战和头颅X射线图像分析挑战赛的主持下，建立了一种新颖的自动牙科放射线分析算法客观评估框架。在本文中，我们介绍了挑战的数据集，方法和结果，并列出了该基准将来使用的原则。挑战的主要贡献包括创建咬合X线片的牙科解剖学数据库，建立头颅X线片的解剖学异常分类数据库以及定义客观定量评估以进行算法比较和排名。以此基准为基础，比较了7种自动测量头颅X射线图像的方法和2种自动检测咬合射线照相龋的自动方法，并给出了详细的定量评估结果。根据定量评估结果，我们认为自动牙科X射线分析仍是一个充满挑战且尚未解决的问题。数据集和评估软件将提供给研究社区，从而进一步鼓励该领域的未来发展。 （http://www-o.ntust.edu.tw/（类似于）cweiwang / ISBI2015 /）（C）2016作者。由Elsevier B.V.发布

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