Detection of Pulmonary Nodules in CT Scanned Images Based on Region Growing with Optimization Parameters

摘要：

　　We present a more efficient computer-aided diagnosis algorithm to detect pulmonary nodules automatically in CT (Computerized Tomography) scanned images based on region growing with optimization parameters:initial seed points and constraint condition.The former are chosen by 3D (three-dimension) PCA (principal component analysis),and the later is designed by distance map and watershed algorithms.The technique was tested against more than 200 CT images of 10 typical cases from Jilin Tumor Hospital.The results confirm the validity of technique as well as enhanced performance.

关键词： Computer assistant diagnosis 3D PCA HOSVD CT images Region growing

作者: Yong Li Zhuang Miao Bo Chen

作者单位: College of Information Engineering, JilinTeathers Institute of Engineering&Technology, China Department of Neurosurgery, China-Japan Union Hospital, Jilin University, Changchun, China Department of Pharmacy, Changchun Medical College, Changchun, China

会议类型: 国际会议

会议名称: 2012 2nd international Conference on Materials Science and Information Technology(2012第二届材料科学与信息技术国际会议)(MSIT2012)

会议地点: 西安

会议语种:英文

页码: 854-858

在线出版日期: 2012-08-24（万方平台首次上网日期，不代表论文的发表时间）