Computer-aided detection in chest radiography based on artificial intelligence: a survey.
Computer-aided detection in chest radiography based on artificial intelligence: a survey.
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DOI：
10.1186/s12938-018-0544-y
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发表时间：
2018-08-22
影响因子：
3.9
通讯作者：
Song Z
中科院分区：
文献类型：
--
作者：
Qin C;Yao D;Shi Y;Song Z
胸片作为医学实践中最常用的检查工具，在疾病诊断中具有重要的临床价值。因此，基于胸片的胸部疾病自动检测已成为医学影像学研究的热点之一。本研究从临床应用的角度出发，对计算机辅助检测（CAD）系统进行了全面的综述，重点研究了人工智能技术在胸部X线摄影中的应用。本文介绍了几种常见的胸部X射线数据集，并简要介绍了一般的图像预处理过程，如对比度增强和分割，骨抑制技术，适用于胸部X射线摄影。然后，介绍了CAD系统在特定疾病（肺结节、肺结核、间质性肺疾病）和多种疾病检测中的应用，重点介绍了算法的基本原理、研究中使用的数据、评价措施和结果。最后，对基于人工智能的胸片CAD系统进行了总结，并对存在的问题和发展趋势进行了讨论。
As the most common examination tool in medical practice, chest radiography has important clinical value in the diagnosis of disease. Thus, the automatic detection of chest disease based on chest radiography has become one of the hot topics in medical imaging research. Based on the clinical applications, the study conducts a comprehensive survey on computer-aided detection (CAD) systems, and especially focuses on the artificial intelligence technology applied in chest radiography. The paper presents several common chest X-ray datasets and briefly introduces general image preprocessing procedures, such as contrast enhancement and segmentation, and bone suppression techniques that are applied to chest radiography. Then, the CAD system in the detection of specific disease (pulmonary nodules, tuberculosis, and interstitial lung diseases) and multiple diseases is described, focusing on the basic principles of the algorithm, the data used in the study, the evaluation measures, and the results. Finally, the paper summarizes the CAD system in chest radiography based on artificial intelligence and discusses the existing problems and trends.
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影响因子：
4.8
作者：
Armato, SG;Giger, ML;MacMahon, H
通讯作者：
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使用定向高斯衍生物过滤器对标准和移动胸部X光片进行肺部分割。
影响因子：
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DOI：
10.1109/tpami.2017.2699184
发表时间：
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影响因子：
23.6
作者：
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通讯作者：
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影响因子：
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作者：
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