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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
Volume: 147
Pages: 43 - 49
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