Deep learning for Parkinson’s disease classification using multimodal and multi-sequences PET/MR images

Deep learning for Parkinson’s disease classification using multimodal and multi-sequences PET/MR images

Abstract Background We aimed to use deep learning (DL) techniques to accurately differentiate Parkinson’s disease (PD) from multiple system atrophy (MSA), which share similar clinical presentations. In this retrospective analysis, 206 patients who underwent PET/MR imaging at the Chinese PLA General...

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Bibliographic Details
Main Authors: Yan Chang, Jiajin Liu, Shuwei Sun, Tong Chen, Ruimin Wang
Format: Article
Language:English
Published: SpringerOpen 2025-05-01
Series:EJNMMI Research
Subjects:
PET/MR
Parkinson’s disease
Classification
Deep learning
Multi-modal
Multi-sequence
Online Access:https://doi.org/10.1186/s13550-025-01245-3
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https://doi.org/10.1186/s13550-025-01245-3

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