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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Λεπτομέρειες βιβλιογραφικής εγγραφής

Κύριοι συγγραφείς:	Sayyed Shahid Hussain, Pir Masoom Shah, Hussain Dawood, Xu Degang, Ahmad Alshamayleh, Muhammad Adnan Khan, Taher M. Ghazal
Μορφή:	Artigo
Γλώσσα:	Inglês
Έκδοση:	Nature Portfolio 2025-04-01
Σειρά:	Scientific Reports
Θέματα:	Parkinson’s disease Swin-transformer Cosine similarity CNN MRI
Διαθέσιμο Online:	https://doi.org/10.1038/s41598-025-93671-5
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