Cargando…
Explainable classification of Parkinson’s disease using deep learning trained on a large multi-center database of T1-weighted MRI datasets
INTRODUCTION: Parkinson’s disease (PD) is a severe neurodegenerative disease that affects millions of people. Early diagnosis is important to facilitate prompt interventions to slow down disease progression. However, accurate PD diagnosis can be challenging, especially in the early disease stages. T...
Autores principales: | Camacho, Milton, Wilms, Matthias, Mouches, Pauline, Almgren, Hannes, Souza, Raissa, Camicioli, Richard, Ismail, Zahinoor, Monchi, Oury, Forkert, Nils D. |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Elsevier
2023
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10148079/ https://www.ncbi.nlm.nih.gov/pubmed/37079936 http://dx.doi.org/10.1016/j.nicl.2023.103405 |
Ejemplares similares
-
Motor symptoms in Parkinson’s disease are related to the interplay between cortical curvature and thickness
por: Almgren, Hannes, et al.
Publicado: (2022) -
Machine learning-based prediction of longitudinal cognitive decline in early Parkinson’s disease using multimodal features
por: Almgren, Hannes, et al.
Publicado: (2023) -
Image-encoded biological and non-biological variables may be used as shortcuts in deep learning models trained on multisite neuroimaging data
por: Souza, Raissa, et al.
Publicado: (2023) -
A statistical atlas of cerebral arteries generated using multi-center MRA datasets from healthy subjects
por: Mouches, Pauline, et al.
Publicado: (2019) -
Mild behavioral impairment in Parkinson's disease is associated with altered corticostriatal connectivity
por: Lang, Stefan, et al.
Publicado: (2020)