摘要
肺结节计算机辅助检测(CAD)技术能有效辅助放射科医生提高肺结节的检测效率和正确率,从而为肺癌的早期诊断奠定基础。为了给CAD研究领域的学者提供借鉴与参考,推动CAD技术的发展,本文对近年来国内外基于CT图像的肺结节计算机辅助检测技术的研究文献进行综述,介绍了肺结节CAD相关算法、流程及技术,分析了目前研究所存在的问题和不足,并提出了弥补这些不足的思路。近年来的研究表明,肺结节计算机辅助检测技术仍有很大发展空间,针对CAD的每一个环节进行算法和流程的优化设计,对进一步提高CAD的检测性能仍然具有重要科学价值。
Computer-aided detection(CAD)of pulmonary nodule technology can effectively assist the radiologist to enhance lung nodule detection efficiency and accuracy rate,so it can lay the foundation for the early diagnosis of lung cancer.In order to provide reference for the scholars and to develop the CAD technology,we in this paper review the technology research and development of CAD of the pulmonary nodules which is based on CT image in recent years both home and abroad.At the same time,we also analyse the advantages and shortcomings of different methods.Then we present the improvement direction for reference.According to the literature in recent years,there still has been large development space in CAD technology for pulmonary nodules.The establishment and improvement of the CAD system in each step would be of great scientific value.
出处
《生物医学工程学杂志》
EI
CAS
CSCD
北大核心
2014年第5期1172-1177,共6页
Journal of Biomedical Engineering
基金
国家自然科学基金资助项目(60972122)
上海市自然科学基金资助项目(14ZR1427900)
山东省自然科学基金资助项目(ZR2011HL027)
关键词
肺部图像
肺结节
计算机辅助检测
性能评估
lung image
pulmonary nodule
computer-aided detection
performance evaluation