Correlation coefficient based supervised locally linear embedding for pulmonary nodule recognition.

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作者： Panpan,Wu ^[1] ; Kewen,Xia ^[2] ; Hengyong,Yu ^[3]

作者单位： School of Electronic and Information Engineering, Hebei University of Technology, Tianjin, 300401, China; Department of Electrical and Computer Engineering, University of Massachusetts Lowell, Lowell, MA 01854, USA. ^[1] School of Electronic and Information Engineering, Hebei University of Technology, Tianjin, 300401, China. ^[2] Department of Electrical and Computer Engineering, University of Massachusetts Lowell, Lowell, MA 01854, USA. Electronic address: hengyong-yu@ieee.org. ^[3]

关键词 Dimensionality reduction Pulmonary nodule recognition Spearman's rank correlation coefficient Supervised locally linear embedding

主题词人类(Humans);模型, 理论(Models, Theoretical);敏感性与特异性(Sensitivity and Specificity);孤立性肺结节(Solitary Pulmonary Nodule)

DOI 10.1016/j.cmpb.2016.08.009

PMID 27686707

发布时间 2019-12-10

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