数据采集与处理2016，Vol.31Issue(5)：868-881,14.DOI:10.16337/j.1004-9037.2016.05.003
CT图像肺结节计算机辅助检测与诊断技术研究综述
Reviews on Computer-Aided Detection and Diagnosis of Pulmonary Nodules in CT Images
摘要
Abstract
Computer-aided diagnosis (CAD)system can detect,segment and diagnose pulmonary nodules from CT images,and improve the survival rate of early lung cancer,which has important clinical signifi-cance.As the appearance of pulmonary nodules varies with its type,size,location,internal structure, and malignancy,nodule detection and diagnosis have become a major challenge.Here the key techniques and challenges are analyzed in four main processing stages:segmentation of lungs from chest images,de-tection of pulmonary nodules inside the lung fields,pulmonary nodule segmentation,and diagnosis of pulmonary nodules as benign or malignant.Further research is needed to optimize the diagnosis algorithm sensitivity of nodules with different sizes and shapes,thus decreasing the number of false positives,and improving automation level of diagnosis.Finally,the picture archiving and communication systems (PACS)should be integrated with electronic medical record systems (EMRS)in order to be adopted in clinical practice.关键词
CT图像/肺结节/计算机辅助检测与诊断/医学图像处理与分析Key words
CT image/pulmonary nodule/computer-aided detection and diagnosis/medical image pro-cessing and analysis分类
信息技术与安全科学引用本文复制引用
伍长荣,接标,叶明全..CT图像肺结节计算机辅助检测与诊断技术研究综述[J].数据采集与处理,2016,31(5):868-881,14.基金项目
国家自然科学基金(61672386,61573023)资助项目 （61672386,61573023）
教育部人文社会科学研究规划基金(16YJAZH071)资助项目 （16YJAZH071）
安徽高校省级自然科学研究重点基金(KJ2016A275,KJ2014A266)资助项目。 （KJ2016A275,KJ2014A266）
