医学影像计算机辅助检测与诊断系统综述  

Survey on Medical Image Computer Aided Detection and Diagnosis Systems

作　　者：郑光远 刘峡壁[1,2] 韩光辉[1,2] ZHENG Guang-Yuan1,2,3, LIU Xia-Bi1,2, HAN Guang-Hui1,2(1.Beijing Laboratory of Intelligent Information Technology （Beijing Institute of Technology）, Beijing 100081, China; 2.School of Computer Science and Technology, Beijing Institute of Technology, Beijing 100081, China; 3.School of Computer Science and Technology, Shangqiu Normal University, Shangqiu 476000, China)

机构地区：[1]智能信息技术北京市重点实验室(北京理工大学),北京100081 [2]北京理工大学计算机学院,北京100081 [3]商丘师范学院计算机学院,河南商丘476000

出　　处：《软件学报》2018年第5期1471-1514,共44页Journal of Software

基　　金：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)~~

摘　　要：计算机辅助检测/诊断(computer-aided detection/diagnosis,简称CAD)能够提高诊断的准确性,减少假阳性的产生,为医生提供有效的诊断决策支持.旨在分析计算机辅助诊断工具的最新发展.以CAD研究较多的四大致命性癌症的发病医学部位为主线,按照不同的成像技术和病类,对目前CAD在不同医学图像领域的应用进行了较为详尽的综述,从图像数据集、算法和评估方法等方面做多维度梳理.最后分析了医学图像CAD系统研究领域目前存在的问题,并对此领域的研究趋势和发展方向进行展望.Computer aided detection/diagnosis （CAD） can improve the accuracy of diagnosis, reduce false positive, and provide decision supports for doctors. The main purpose of this paper is to analyze the latest development of computer aided diagnosis tools. Focusing on the top four fatal cancer＇s incidence positions, major recent publications on CAD applications in different medical imaging areas are reviewed in this survey according to different imaging techniques and diseases. Further more, multidimentional analysis is made on the researches from image data sets, algorithms and evaluation methods. Finally, existing problems, research trend and development direction in the field of medical image CAD system are discussed.

关 键 词：计算机辅助检测(CADe) 计算机辅助诊断(CADx) 医学图像 肺癌 乳腺癌 结直肠癌 前列腺癌 

分 类 号：TP391[自动化与计算机技术—计算机应用技术]