基于CT的计算机辅助检测与诊断肺结节技术研究进展

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。

Research progresses of computer-aided detection and diagnosis based on CT in pulmonary nodules

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.