An Efficient Approach for Differentiating Alzheimer's Disease from Normal Elderly Based on Multicenter MRI Using Gray-Level Invariant Features

• Muwei Li,

  Affiliation College of Electronics and Information Engineering, Sichuan University, Chengdu, China

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• Kenichi Oishi,

  Affiliation The Russell H. Morgan Department of Radiology and Radiological Science, The Johns Hopkins University School of Medicine, Baltimore, Maryland, United States of America

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• Xiaohai He ,

  * E-mail: hxh@scu.edu.cn (XH); susumu@mri.jhu.edu (SM)

  Affiliation College of Electronics and Information Engineering, Sichuan University, Chengdu, China

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• Yuanyuan Qin,

  Affiliation Department of Radiology, Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China

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• Fei Gao,

  Affiliation Shandong Medical Imaging Research Institute, Shandong University, Jinan, China

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• Susumu Mori ,

  * E-mail: hxh@scu.edu.cn (XH); susumu@mri.jhu.edu (SM)

  Affiliation The Russell H. Morgan Department of Radiology and Radiological Science, The Johns Hopkins University School of Medicine, Baltimore, Maryland, United States of America

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• for the Alzheimer's Disease Neuroimaging Initiative

  ¶Membership of the Alzheimer's Disease Neuroimaging Initiative is provided here: http://adni.loni.usc.edu/wp-content/uploads/how_to_apply/ADNI_Acknowledgement_List.pdf.

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