Cargando…
Radiomics-Based Artificial Intelligence Differentiation of Neurodegenerative Diseases with Reference to the Volumetry
This study aimed to build automated detection models—one by brain regional volume (V-model), and the other by radiomics features of the whole brain (R-model)—to differentiate mild cognitive impairment (MCI) from cognitive normal (CN), and Alzheimer’s Disease (AD) from mild cognitive impairment (MCI)...
Autores principales: | Cheung, Eva Y. W., Chau, Anson C. M., Tang, Fuk Hay |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
MDPI
2022
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9024778/ https://www.ncbi.nlm.nih.gov/pubmed/35455005 http://dx.doi.org/10.3390/life12040514 |
Ejemplares similares
-
Artificial-intelligence-based MRI brain volumetry in patients with essential tremor and tremor-dominant Parkinson’s disease
por: Purrer, Veronika, et al.
Publicado: (2023) -
Comparing two artificial intelligence software packages for normative brain volumetry in memory clinic imaging
por: Zaki, Lara A. M., et al.
Publicado: (2022) -
Artificial intelligence and radiomics for radiation oncology
por: Kocher, Martin
Publicado: (2020) -
Radiomics based on artificial intelligence in liver diseases: where are we?
por: Hu, Wenmo, et al.
Publicado: (2020) -
Radiomics and artificial intelligence in lung cancer screening
por: Binczyk, Franciszek, et al.
Publicado: (2021)