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An automatic interpretable deep learning pipeline for accurate Parkinson's disease diagnosis using quantitative susceptibility mapping and T1‐weighted images
Parkinson's disease (PD) diagnosis based on magnetic resonance imaging (MRI) is still challenging clinically. Quantitative susceptibility maps (QSM) can potentially provide underlying pathophysiological information by detecting the iron distribution in deep gray matter (DGM) nuclei. We hypothes...
Autores principales: | Wang, Yida, He, Naying, Zhang, Chunyan, Zhang, Youmin, Wang, Chenglong, Huang, Pei, Jin, Zhijia, Li, Yan, Cheng, Zenghui, Liu, Yu, Wang, Xinhui, Chen, Chen, Cheng, Jingliang, Liu, Fangtao, Haacke, Ewart Mark, Chen, Shengdi, Yang, Guang, Yan, Fuhua |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
John Wiley & Sons, Inc.
2023
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10365226/ https://www.ncbi.nlm.nih.gov/pubmed/37335041 http://dx.doi.org/10.1002/hbm.26399 |
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