Stability of AI-Enabled Diagnosis of Parkinson’s Disease: A Study Targeting Substantia Nigra in Quantitative Susceptibility Mapping Imaging
Purpose: Parkinson’s disease (PD) diagnosis algorithms based on quantitative susceptibility mapping (QSM) and image algorithms rely on substantia nigra (SN) labeling. However, the difference between SN labels from different experts (or segmentation algorithms) will have a negative impact on downstre...
Enregistré dans:
Auteurs principaux: | Bin Xiao, Naying He, Qian Wang, Feng Shi, Zenghui Cheng, Ewart Mark Haacke, Fuhua Yan, Dinggang Shen |
---|---|
Format: | article |
Langue: | EN |
Publié: |
Frontiers Media S.A.
2021
|
Sujets: | |
Accès en ligne: | https://doaj.org/article/c32cdb6e17ba47f98aa1ad4a7ca3509f |
Tags: |
Ajouter un tag
Pas de tags, Soyez le premier à ajouter un tag!
|
Documents similaires
-
Automated Assessment of the Substantia Nigra Pars Compacta in Parkinson’s Disease: A Diffusion Tensor Imaging Study
par: Niels Bergsland, et autres
Publié: (2021) -
Quantitative Susceptibility Mapping-Derived Radiomic Features in Discriminating Multiple Sclerosis From Neuromyelitis Optica Spectrum Disorder
par: Zichun Yan, et autres
Publié: (2021) -
Paraquat Toxicogenetics: Strain-Related Reduction of Tyrosine Hydroxylase Staining in Substantia Nigra in Mice
par: Carolina Torres-Rojas, et autres
Publié: (2021) -
Defective mitochondrial DNA homeostasis in the substantia nigra in Parkinson disease
par: Christian Dölle, et autres
Publié: (2016) -
Dopamine reduction in the substantia nigra of Parkinson's disease patients confirmed by in vivo magnetic resonance spectroscopic imaging.
par: Adriane Gröger, et autres
Publié: (2014)