A swin transformer and CNN fusion framework for accurate Parkinson disease classification in MRI

A swin transformer and CNN fusion framework for accurate Parkinson disease classification in MRI

Abstract Parkinson’s disease ranks as the second most prevalent neurological disorder after Alzheimer’s disease. Convolutional neural networks (CNNs) have been extensively employed in Parkinson’s disease (PD) detection using MR images. However, CNN models generally focus on local features while pron...

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Bibliographic Details
Main Authors: Sayyed Shahid Hussain, Pir Masoom Shah, Hussain Dawood, Xu Degang, Ahmad Alshamayleh, Muhammad Adnan Khan, Taher M. Ghazal
Format: Article
Language:English
Published: Nature Portfolio 2025-04-01
Series:Scientific Reports
Subjects:
Parkinson’s disease
Swin-transformer
Cosine similarity
CNN
MRI
Online Access:https://doi.org/10.1038/s41598-025-93671-5
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https://doi.org/10.1038/s41598-025-93671-5

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