吴光耀,伍建林.基于CT的计算机辅助检测与诊断肺结节技术研究进展[J].中国医学影像技术,2018,34(7):1114~1117
基于CT的计算机辅助检测与诊断肺结节技术研究进展
Research progresses of computer-aided detection and diagnosis based on CT in pulmonary nodules
投稿时间:2017-10-13  修订日期:2018-04-14
DOI:10.13929/j.1003-3289.201710039
中文关键词:  计算机辅助检测  诊断,计算机辅助  肺结节  体层摄影术,X线计算机
英文关键词:Computer-aided detection  Diagnosis,computer-assisted  Lung nodules  Tomography,X-ray computed
基金项目:
作者单位E-mail
吴光耀 大连大学附属中山医院放射科, 辽宁 大连 116001  
伍建林 大连大学附属中山医院放射科, 辽宁 大连 116001 cjr.wujianlin@vip.163.com 
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中文摘要:
      随着低剂量薄层CT在肺癌筛查与诊断中的广泛应用,肺结节的检出不断增多,在提供丰富影像信息的同时,也使阅片工作量大幅增加,导致放射科医师疲劳和漏检、误判。计算机辅助系统有助于减少肺结节漏检、缓解放射科医师压力,提高诊断效率和准确率。本文对基于CT的计算机辅助检测与诊断技术流程及其在肺结节中的应用进行综述。
英文摘要:
      With the widespread use of low-dose and thin-slice CT in the screening and diagnosis of lung cancer, the detection rate of pulmonary nodules was increasing. It provided a wealth of image information but resulted in a great amount of reading work, and may lead to radiologists fatigue or miss diagnosis. To this end, the researchers developed a computer-aided system in order to reduce the missed diagnosis of pulmonary nodules and relieve the pressure of radiologists to improve their diagnostic efficiency and accuracy. The progresses of computer-aided detection and diagnosis based on CT and the applications in pulmonary nodules were reviewed in this paper.
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