MCI Conversion Prediction Using 3D Zernike Moments and the Improved Dynamic Particle Swarm Optimization Algorithm

MCI Conversion Prediction Using 3D Zernike Moments and the Improved Dynamic Particle Swarm Optimization Algorithm

Mild cognitive impairment (MCI) conversion prediction is a vital challenge in the area of Alzheimer’s disease (AD) as it could determine possible treatment pathways for AD patients. In this work, we presented a robust MCI conversion prediction framework based on the 3D-Zernike Moment (3D-ZM) method...

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Bibliographic Details
Main Authors: Pouya Bolourchi, Mohammadreza Gholami, Masoud Moradi, Iman Beheshti, Hasan Demirel
Format: Article
Language:English
Published: MDPI AG 2023-04-01
Series:Applied Sciences
Subjects:
Alzheimer’s disease
classification
feature extraction
improved dynamic PSO
Zernike moment
Online Access:https://www.mdpi.com/2076-3417/13/7/4489

Internet

https://www.mdpi.com/2076-3417/13/7/4489

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