Multi-modal classification of neurodegenerative disease by progressive graph-based transductive learning.

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作者： Zhengxia,Wang ^[1] ; Xiaofeng,Zhu ^[2] ; Ehsan,Adeli ^[3] ; Yingying,Zhu ^[3] ; Feiping,Nie ^[4] ; Brent,Munsell ^[5] ; Guorong,Wu ^[6] ; ADNI and PPMI

作者单位： Department of Information Science and Engineering, Chongqing Jiaotong University, Chongqing, 400074, PR China; Department of Radiology and BRIC, University of North Carolina at Chapel Hill, NC 27599, USA; Department of Automation, Chongqing University, Chongqing, 400044, PR China. Electronic address: zxiawang619@gmail.com. ^[1] Department of Radiology and BRIC, University of North Carolina at Chapel Hill, NC 27599, USA; Department Computer Science and Information Engineering, Guangxi Normal University, Guilin, 541004, PR China. ^[2] Department of Radiology and BRIC, University of North Carolina at Chapel Hill, NC 27599, USA. ^[3] School of Computer Science and Center for OPTical IMagery Analysis and Learning (OPTIMAL), Northwestern Polytechnical University, Xi'an 710072, Shaanxi, PR China. ^[4] Department of Computer Science, College of Charleston, Charleston, SC 29424, USA. ^[5] Department of Radiology and BRIC, University of North Carolina at Chapel Hill, NC 27599, USA. Electronic address: grwu@med.unc.edu. ^[6]

关键词 Computer-assisted diagnosis Graph-based transductive learning (GTL)Intrinsic representation Multi-modality