Analyze Publications Database

Pareto Optimized Adaptive Learning with Transposed Convolution for Image Fusion Alzheimer’s Disease Classification

Modupe Odusami et al. Pareto Optimized Adaptive Learning with Transposed Convolution for Image Fusion Alzheimer’s Disease Classification Brain Sciences.

Publication Date
July 8, 2023

How Analyze was Used
“Morphological operations are carried out on MRI and PET images using Analyze 14.0 software and after which PET images are manipulated for the desired angle of alignment with MRI image using GNU Image Manipulation Program (GIMP). To enhance the network’s performance, transposed convolution layer is incorporated into the previously extracted feature maps before image fusion. This process generates feature maps and fusion weights that facilitate the fusion process. ”

Keywords
Deep learning, Pareto optimization, Image fusion, Fusion weights, MRI, Multimodal imaging, PET

Author Affiliation(s)
Kaunas University of Technology, Kaunas, Lithuania

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