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首页> 外文期刊>Biomedical Engineering, IEEE Transactions on >The LISS—A Public Database of Common Imaging Signs of Lung Diseases for Computer-Aided Detection and Diagnosis Research and Medical Education
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The LISS—A Public Database of Common Imaging Signs of Lung Diseases for Computer-Aided Detection and Diagnosis Research and Medical Education

机译：LISS-肺部疾病常见影像征象的公共数据库，用于计算机辅助检测和诊断研究及医学教育

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摘要

Lung computed tomography (CT) imaging signs play important roles in the diagnosis of lung diseases. In this paper, we review the significance of CT imaging signs in disease diagnosis and determine the inclusion criterion of CT scans and CT imaging signs of our database. We develop the software of abnormal regions annotation and design the storage scheme of CT images and annotation data. Then, we present a publicly available database of lung CT imaging signs, called LISS for short, which contains 271 CT scans and 677 abnormal regions in them. The 677 abnormal regions are divided into nine categories of common CT imaging signs of lung disease (CISLs). The ground truth of these CISLs regions and the corresponding categories are provided. Furthermore, to make the database publicly available, all private data in CT scans are eliminated or replaced with provisioned values. The main characteristic of our LISS database is that it is developed from a new perspective of CT imaging signs of lung diseases instead of commonly considered lung nodules. Thus, it is promising to apply to computer-aided detection and diagnosis research and medical education.
机译：肺部CT征象在肺部疾病的诊断中起着重要作用。在本文中，我们回顾了CT影像学征象在疾病诊断中的意义，并确定了我们数据库中CT扫描和CT影像学征象的纳入标准。我们开发了异常区域注释软件，并设计了CT图像和注释数据的存储方案。然后，我们介绍一个可公开获得的肺部CT影像体征数据库，简称LISS，其中包含271项CT扫描和677个异常区域。 677个异常区域分为9类常见的肺部CT影像征象（CISL）。提供了这些CISL区域的基本事实以及相应的类别。此外，为了使数据库可公开使用，CT扫描中的所有私有数据都将被消除或替换为配置的值。我们的LISS数据库的主要特点是，它是从CT影像显示的肺部疾病征象而不是通常认为的肺结节发展而来的。因此，有望应用于计算机辅助检测与诊断研究以及医学教育。

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