Multi-parametric MRI phenotype with trustworthy machine learning for differentiating CNS demyelinating diseases

Multi-parametric MRI phenotype with trustworthy machine learning for differentiating CNS demyelinating diseases

Abstract Background Misdiagnosis of multiple sclerosis (MS) and neuromyelitis optica (NMO) may delay the treatment, resulting in poor prognosis. However, the precise identification of these two diseases is still challenging in clinical practice. We aimed to evaluate the value of quantitative radiomi...

Full description

Bibliographic Details
Main Authors: Jing Huang, Bowen Xin, Xiuying Wang, Zhigang Qi, Huiqing Dong, Kuncheng Li, Yun Zhou, Jie Lu
Format: Article
Language:English
Published: BMC 2021-09-01
Series:Journal of Translational Medicine
Subjects:
Multiple sclerosis
Neuromyelitis optica
MRI
Radiomics
Machine learning
Online Access:https://doi.org/10.1186/s12967-021-03015-w

Internet

https://doi.org/10.1186/s12967-021-03015-w

Similar Items