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Multiple Sclerosis Identification by 14-Layer Convolutional Neural Network With Batch Normalization, Dropout, and Stochastic Pooling.

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第一作者： Shui-Hua,Wang

第一单位： School of Computer Science and Technology, Henan Polytechnic University, Jiaozuo, China.;School of Architecture Building and Civil Engineering, Loughborough University, Loughborough, United Kingdom.

作者： Shui-Hua,Wang ^[1] ; Chaosheng,Tang ^[2] ; Junding,Sun ^[2] ; Jingyuan,Yang ^[3] ; Chenxi,Huang ^[4] ; Preetha,Phillips ^[5] ; Yu-Dong,Zhang ^[6]

作者单位： School of Computer Science and Technology, Henan Polytechnic University, Jiaozuo, China.;School of Architecture Building and Civil Engineering, Loughborough University, Loughborough, United Kingdom. ^[1] School of Computer Science and Technology, Henan Polytechnic University, Jiaozuo, China. ^[2] The Faculty of Computer Science and Engineering, Xi'an University of Technology, Xi'an, China. ^[3] Department of Computer Science and Technology, Tongji University, Shanghai, China. ^[4] West Virginia School of Osteopathic Medicine, Lewisburg, WV, United States. ^[5] School of Computer Science and Technology, Henan Polytechnic University, Jiaozuo, China.;Department of Informatics, University of Leicester, Leicester, United Kingdom. ^[6]

关键词 batch normalization convolutional neural network deep learning dropout multiple sclerosis stochastic pooling

DOI 10.3389/fnins.2018.00818

PMID 30467462

发布时间 2020-10-01

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