Study on Segmentation Algorithm of Pulmonary Nodule Based on CT ImagesChinese Full Text
ZHANG Yong-qiang1,XIA Shun-ren2,CHEN Xing-can2,HAO Xin2(1.Medical Imaging Department,the 117th Hospital of the PLA,Hangzhou 310013,China;2.Key Laboratory of Biomedical Engineering of Ministry of Education,Zhejiang University,Hangzhou 310027,China)
Abstract: Objective To find out the superior algorithm among 2D Maximum Entropy Thresholding,Chan-Vese Model and Dynamic Programming algorithm by comparing the automatic segmentation results by the three algorithms.Methods Chest CT images with pulmonary nodule from PACS database of the 117th Hospital of the PLA were used as the subject,the flow for lung nodule augmentation was designed,then automatic segmentation was performed by the above algorithms.Results Gold standard images by manual segmentation and... More
- Series:
(E) Medicine & Public Health; (I) Electronic Technology & Information Science
- Subject:
Computer Software and Application of Computer
- Classification Code:
TP391.41
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