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An Artificially Intelligent Fusion Approach for Prognosis of Alzheimer’s Disease
S. Mukherjee,
Published in Springer Science and Business Media Deutschland GmbH
2021
Volume: 147
   
Pages: 43 - 49
Abstract
In the present study, we have merged functional and anatomical information to study the prognosis of Alzheimer’s disease (AD). To restore all possible directional information of the source images, the shift-invariant non-subsampled shearlet transform (NSST)-based decomposition technique is employed. Then, principle component analysis (PCA) and position-based maximum energy selection scheme are applied for lower subband and higher subbands, respectively, to combine multimodal information in a single frame. Finally, fused images have been generated by inverse NSST. Efficiency of the proposed fusion scheme has been reflected in the experimental results. © 2021, Springer Nature Singapore Pte Ltd.
About the journal
JournalData powered by TypesetLecture Notes in Networks and Systems
PublisherData powered by TypesetSpringer Science and Business Media Deutschland GmbH
ISSN23673370