Pathological lung segmentation in chest CT images based on improved random walker.

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作者： Cheng,Chen ^[1] ; Ruoxiu,Xiao ^[2] ; Tao,Zhang ^[3] ; Yuanyuan,Lu ^[4] ; Xiaoyu,Guo ^[1] ; Jiayu,Wang ^[1] ; Hongyu,Chen ^[1] ; Zhiliang,Wang ^[1]

作者单位： School of Computer and Communication Engineering, University of Science and Technology Beijing, Beijing, 100083, China. ^[1] School of Computer and Communication Engineering, University of Science and Technology Beijing, Beijing, 100083, China; Institute of Artificial Intelligence, University of Science and Technology Beijing, Beijing 100083, China. Electronic address: xiaoruoxiu@ustb.edu.cn. ^[2] Department of Thoracic Surgery, Chinese PLA General Hospital, Beijing, 100853, China. Electronic address: thoracic_zt@163.com. ^[3] Department of Ultrasound, Chinese PLA General Hospital, Beijing, 100853, China. ^[4]

关键词 Binary K-means Gaussian mixture model Lung segmentation Random walker

主题词算法(Algorithms);聚类分析(Cluster Analysis);人类(Humans);图像处理, 计算机辅助(Image Processing, Computer-Assisted);肺(Lung);体层摄影术, X线计算机(Tomography, X-Ray Computed)

DOI 10.1016/j.cmpb.2020.105864

PMID 33280937

发布时间 2022-05-31

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