Cargando…
Machine learning-based automatic estimation of cortical atrophy using brain computed tomography images
Cortical atrophy is measured clinically according to established visual rating scales based on magnetic resonance imaging (MRI). Although brain MRI is the primary imaging marker for neurodegeneration, computed tomography (CT) is also widely used for the early detection and diagnosis of dementia. How...
Autores principales: | Jang, Jae-Won, Kim, Jeonghun, Park, Sang-Won, Kasani, Payam Hosseinzadeh, Kim, Yeshin, Kim, Seongheon, Kim, Soo-Jong, Na, Duk L., Moon, Seung Hwan, Seo, Sang Won, Seong, Joon-Kyung |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Nature Publishing Group UK
2022
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9427760/ https://www.ncbi.nlm.nih.gov/pubmed/36042322 http://dx.doi.org/10.1038/s41598-022-18696-6 |
Ejemplares similares
-
Staging and quantification of florbetaben PET images using machine learning: impact of predicted regional cortical tracer uptake and amyloid stage on clinical outcomes
por: Kim, Jun Pyo, et al.
Publicado: (2019) -
Identifying a subtype of Alzheimer’s disease characterised by predominant right focal cortical atrophy
por: Kim, Ko Woon, et al.
Publicado: (2020) -
Machine Learning-based Individual Assessment of Cortical Atrophy Pattern in Alzheimer’s Disease Spectrum: Development of the Classifier and Longitudinal Evaluation
por: Lee, Jin San, et al.
Publicado: (2018) -
Predicting progression to dementia with “comprehensive visual rating scale” and machine learning algorithms
por: Park, Chaeyoon, et al.
Publicado: (2022) -
An Aggregated-Based Deep Learning Method for Leukemic B-lymphoblast Classification
por: Kasani, Payam Hosseinzadeh, et al.
Publicado: (2020)