Efficient recognition of Parkinson’s disease mice on stepping characters with CNN

Efficient recognition of Parkinson’s disease mice on stepping characters with CNN

Abstract Parkinson’s disease (PD), as the second most prevalent neurodegenerative disorder worldwide, impacts the quality of life for over 12 million patients. This study aims to enhance the accuracy of early diagnosis of PD through non-invasive methods, with the goal of enabling earlier interventio...

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Bibliographic Details
Main Authors: Yunsong Luo, Yiqi Huang, Guangzhan Fang, Ningping Tan, Yezhong Tang
Format: Article
Language:English
Published: Nature Portfolio 2025-01-01
Series:Scientific Reports
Subjects:
Bayesian algorithm
Footprint images
Movement trajectories
Parkinson’s disease
Online Access:https://doi.org/10.1038/s41598-024-84815-0
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https://doi.org/10.1038/s41598-024-84815-0

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