An Assisted Diagnosis System for Detection of Early Pulmonary Nodule in Computed Tomography Images

	An Assisted Diagnosis System for Detection of Early Pulmonary Nodule in Computed Tomography Images
	Jikui Liu; Hongyang Jiang; Mengdi Gao; Chenguang He; Yu Wang; Pu Wang; He Ma; Ye Li
刊名	JOURNAL OF MEDICAL SYSTEMS
	2017
文献子类	期刊论文
英文摘要	Lung cancer is still the most concerned disease around the world. Lung nodule generates in the pulmonary parenchyma which indicates the latent risk of lung cancer. Computer-aided pulmonary nodules detection system is necessary, which can reduce diagnosis time and decrease mortality of patients. In this study, we have proposed a new computer aided diagnosis (CAD) system for detection of early pulmonary nodule, which can help radiologists quickly locate suspected nodules and make judgments. This system consists of four main sections: pulmonary parenchyma segmentation, nodule candidate detection, features extraction (total 22 features) and nodule classification. The publicly available data set created by the Lung Image Database Consortium (LIDC) is used for training and testing. This study selects 6400 slices from 80 CT scans containing totally 978 nodules, which is labeled by four radiologists. Through a fast segmentation method proposed in this paper, pulmonary nodules including 888 true nodules and 11379 false positive nodules are segmented. By means of an ensemble classifier, Random Forest (RF), this study acquires 93.2%, 92.4%, 94.8%, 97.6% of accuracy, sensitivity, specificity, area under the curve (AUC), respectively. Compared with support vector machine (SVM) classifier, RF can reduce more false positive nodules and acquire larger AUC. With the help of this CAD system, radiologist can be provided with a great reference for pulmonary nodule diagnosis timely.
URL标识	查看原文
语种	英语
内容类型	期刊论文
源URL	[http://ir.siat.ac.cn:8080/handle/172644/12592]
专题	深圳先进技术研究院_数字所
作者单位	JOURNAL OF MEDICAL SYSTEMS
推荐引用方式 GB/T 7714	Jikui Liu,Hongyang Jiang,Mengdi Gao,et al. An Assisted Diagnosis System for Detection of Early Pulmonary Nodule in Computed Tomography Images[J]. JOURNAL OF MEDICAL SYSTEMS,2017.
APA	Jikui Liu.,Hongyang Jiang.,Mengdi Gao.,Chenguang He.,Yu Wang.,...&Ye Li.(2017).An Assisted Diagnosis System for Detection of Early Pulmonary Nodule in Computed Tomography Images.JOURNAL OF MEDICAL SYSTEMS.
MLA	Jikui Liu,et al."An Assisted Diagnosis System for Detection of Early Pulmonary Nodule in Computed Tomography Images".JOURNAL OF MEDICAL SYSTEMS (2017).