Quantitative CT analysis of pulmonary nodules for lung adenocarcinoma risk classification based on an exponential weighted grey scale angular density distribution feature.

导出 LinkOut

翻译打印收藏纠错

第一作者： Vanbang,Le

第一单位： School of Information Science and Engineering, East China University of Science and Technology, Shanghai, Postcode 200237, China.

作者： Vanbang,Le ^[1] ; Dawei,Yang ^[2] ; Yu,Zhu ^[3] ; Bingbing,Zheng ^[4] ; Chunxue,Bai ^[5] ; Hongcheng,Shi ^[6] ; Jie,Hu ^[2] ; Changwen,Zhai ^[7] ; Shaohua,Lu ^[8]

作者单位： School of Information Science and Engineering, East China University of Science and Technology, Shanghai, Postcode 200237, China. ^[1] Department of Pulmonary Medicine, ZhongShan Hospital, Fudan University, Shanghai, Postcode 200032, China; Shanghai Respiratory Research Institute, Shanghai, Postcode 200032, China. ^[2] School of Information Science and Engineering, East China University of Science and Technology, Shanghai, Postcode 200237, China. Electronic address: zhuyu@ecust.edu.cn. ^[3] School of Information Science and Engineering, East China University of Science and Technology, Shanghai, Postcode 200237, China. Electronic address: zbbddmail@gmail.com. ^[4] Department of Pulmonary Medicine, ZhongShan Hospital, Fudan University, Shanghai, Postcode 200032, China; Shanghai Respiratory Research Institute, Shanghai, Postcode 200032, China. Electronic address: bai.chunxue@zs-hospital.sh.cn. ^[5] Department of Nuclear Medicine, ZhongShan Hospital, Fudan University, Shanghai, Postcode 200032, China. Electronic address: shi.hongcheng@zs-hospital.sh.cn. ^[6] Department of Pathology, ZhongShan Hospital, Fudan University, Shanghai, Postcode 200032, China. Electronic address: zhai.changwen@zs-hospital.sh.cn. ^[7] Department of Pathology, ZhongShan Hospital, Fudan University, Shanghai, Postcode 200032, China. ^[8]

关键词 Angular histogram Exponential weighted K-means Lung nodule classification Reference map