Identification of Alzheimer's disease based on wavelet transformation energy feature of the structural MRI image and NN classifier

作者：

Highlights：

• A framework using the wavelet transform is proposed to extract energy features from the sMRI image for AD identification.

• Technique of multiscale analysis is introduced to transform the sMRI image in the frequency domain.

• The subband is segmented based on a constructed brain mask in the spatial domain.

摘要

•A framework using the wavelet transform is proposed to extract energy features from the sMRI image for AD identification.•Technique of multiscale analysis is introduced to transform the sMRI image in the frequency domain.•The subband is segmented based on a constructed brain mask in the spatial domain.

论文关键词：Alzheimer's disease,Image classification,Wavelet transformation,Feature extraction,Energy feature

论文评审过程：Received 8 January 2020, Revised 1 July 2020, Accepted 7 August 2020, Available online 11 August 2020, Version of Record 24 August 2020.

论文官网地址：https://doi.org/10.1016/j.artmed.2020.101940