Extraction of Ruler Markings For Estimating Physical Size of Oral Lesions.

Zhiyun Xue, Kelly Yu, Paul Pearlman, Tseng-Cheng Chen, Chun-Hung Hua, Chung Jan Kang, Chih-Yen Chien, Ming-Hsui Tsai, Cheng-Ping Wang, Anil Chaturvedi, Sameer Antani
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引用次数: 1

Abstract

Small ruler tapes are commonly placed on the surface of the human body as a simple and efficient reference for capturing on images the physical size of a lesion. In this paper, we describe our proposed approach for automatically extracting the measurement information from a ruler in oral cavity images which are taken during oral cancer screening and follow up. The images were taken during a study that aims to investigate the natural history of histologically defined oral cancer precursor lesions and identify epidemiologic factors and molecular markers associated with disease progression. Compared to similar work in the literature proposed for other applications where images are captured with greater consistency and in more controlled situations, we address additional challenges that our application faces in real world use and with analysis of retrospectively collected data. Our approach considers several conditions with respect to ruler style, ruler visibility completeness, and image quality. Further, we provide multiple ways of extracting ruler markings and measurement calculation based on specific conditions. We evaluated the proposed method on two datasets obtained from different sources and examined cross-dataset performance.

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用于估计口腔病变物理尺寸的标尺标记提取。
通常将小尺带放置在人体表面,作为在图像上捕获病变物理尺寸的简单而有效的参考。在本文中,我们提出了一种从口腔癌筛查和随访期间拍摄的口腔图像中自动提取测量信息的方法。这些图像是在一项研究中拍摄的,该研究旨在调查组织学上确定的口腔癌前驱病变的自然历史,并确定与疾病进展相关的流行病学因素和分子标记。与文献中提出的类似工作相比,在其他应用程序中,图像捕获具有更高的一致性和更可控的情况下,我们解决了我们的应用程序在现实世界使用中面临的额外挑战,并分析了回顾性收集的数据。我们的方法考虑了标尺样式、标尺可见性完整性和图像质量方面的几个条件。此外,我们提供了多种方法提取标尺标记和测量计算根据具体情况。我们在来自不同来源的两个数据集上评估了所提出的方法,并检查了跨数据集的性能。
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