AI-based model for automatic identification of multiple sclerosis based on enhanced sea-horse optimizer and MRI scans

AI-based model for automatic identification of multiple sclerosis based on enhanced sea-horse optimizer and MRI scans

Abstract This study aims to develop an AI-enhanced methodology for the expedited and accurate diagnosis of Multiple Sclerosis (MS), a chronic disease affecting the central nervous system leading to progressive impairment. Traditional diagnostic methods are slow and require substantial expertise, und...

Full description

Saved in:
Bibliographic Details
Main Authors: Mohamed G. Khattap, Mohamed Abd Elaziz, Hend Galal Eldeen Mohamed Ali Hassan, Ahmed Elgarayhi, Mohammed Sallah
Format: Article
Language:English
Published: Nature Portfolio 2024-05-01
Series:Scientific Reports
Subjects:
Multiple sclerosis (MS)
Magnetic resonance imaging (MRI)
AI-based diagnosis
Feature selection
Sea-horse optimizer (SHO)
Online Access:https://doi.org/10.1038/s41598-024-61876-9
Tags: Add Tag
No Tags, Be the first to tag this record!

Internet

https://doi.org/10.1038/s41598-024-61876-9

Similar Items