A density-based MS disease diagnosis model using the capuchin search algorithm and an ensemble of deep neural networks

A density-based MS disease diagnosis model using the capuchin search algorithm and an ensemble of deep neural networks

Abstract Multiple sclerosis (MS) is a severe brain disease that permanently destroys brain cells, impacting vision, balance, muscle control, and daily activity. This research employs a weighted combination of deep neural networks and optimization techniques for MS disease diagnosis. This method uses...

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Bibliographic Details
Main Authors: LiJuan Bai, Jiao Wu, Li Chen, Xin Jiang, ZhuYin Song
Format: Article
Language:English
Published: Nature Portfolio 2024-12-01
Series:Scientific Reports
Subjects:
Multiple sclerosis
Magnetic resonance imaging
Capuchin search algorithm
Deep ensemble learning.
Online Access:https://doi.org/10.1038/s41598-024-82395-7
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