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

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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