自动化学报2017，Vol.43Issue(12)：2071-2090,20.DOI:10.16383/j.aas.2017.c160850
肺部CT图像病变区域检测方法
Automated Detection of Lesion Regions in Lung Computed Tomography Images: A Review
摘要
Abstract
Automatic detection of lesion regions in lung CT images is an important research topic in computer aided diagnosis of lung diseases. The system can automatically analyze CT images, output the locations and sizes of lesion regions to help radiologists make decisions, and promote early detection and therapy of lung diseases. In this paper we review the achieved progress of automatic detection methods of lesion regions in lung CT image,and introduce a generic structure for expressing and describing existing detection methods. Furthermore, we provide a systematic analysis and comprehensive performance summary of the latest detection algorithms from 2012. Finally, we point out the challenges ahead,and discuss the future direction of computer aided detection of lung lesions.关键词
肺部CT/肺结节/肺血管/淋巴结/计算机辅助检测Key words
Lung CT/lung nodule/lung vessel/lymph node/computer aided detection引用本文复制引用
韩光辉,刘峡壁,郑光远..肺部CT图像病变区域检测方法[J].自动化学报,2017,43(12):2071-2090,20.基金项目
国家自然科学基金(60973059,81171407),教育部新世纪优秀人才支持计划(NCET-10-0044)资助Supported by National Natural Science Foundation of China(60973059,81171407) and Program for New Century Excellent Talents in University of China(NCET-10-0044) （60973059,81171407）
