Cargando…
Comparative validation of AI and non-AI methods in MRI volumetry to diagnose Parkinsonian syndromes
Automated segmentation and volumetry of brain magnetic resonance imaging (MRI) scans are essential for the diagnosis of Parkinson’s disease (PD) and Parkinson’s plus syndromes (P-plus). To enhance the diagnostic performance, we adopt deep learning (DL) models in brain MRI segmentation and compared t...
Autores principales: | Song, Joomee, Hahm, Juyoung, Lee, Jisoo, Lim, Chae Yeon, Chung, Myung Jin, Youn, Jinyoung, Cho, Jin Whan, Ahn, Jong Hyeon, Kim, Kyungsu |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Nature Publishing Group UK
2023
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10156821/ https://www.ncbi.nlm.nih.gov/pubmed/36859498 http://dx.doi.org/10.1038/s41598-023-30381-w |
Ejemplares similares
-
Publisher Correction: Comparative validation of AI and non-AI methods in MRI volumetry to diagnose Parkinsonian syndromes
por: Song, Joomee, et al.
Publicado: (2023) -
Automatic stridor detection using small training set via patch-wise few-shot learning for diagnosis of multiple system atrophy
por: Ahn, Jong Hyeon, et al.
Publicado: (2023) -
Validation of Blood Pressure Measurement Using a Smartwatch in Patients With Parkinson's Disease
por: Ahn, Jong Hyeon, et al.
Publicado: (2021) -
Detection and differentiation of ataxic and hypokinetic dysarthria in cerebellar ataxia and parkinsonian disorders via wave splitting and integrating neural networks
por: Song, Joomee, et al.
Publicado: (2022) -
Understanding fatigue in progressive supranuclear palsy
por: Ahn, Jong Hyeon, et al.
Publicado: (2021)