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...

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Detalles Bibliográficos
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
Formato: Online Artículo Texto
Lenguaje:English
Publicado: John Wiley & Sons, Inc. 2023
Materias:
Technical Report
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

Internet

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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