Cargando…
Diagnosis of Alzheimer's Disease Severity with fMRI Images Using Robust Multitask Feature Extraction Method and Convolutional Neural Network (CNN)
The automatic diagnosis of Alzheimer's disease plays an important role in human health, especially in its early stage. Because it is a neurodegenerative condition, Alzheimer's disease seems to have a long incubation period. Therefore, it is essential to analyze Alzheimer's symptoms at...
Autores principales: | Amini, Morteza, Pedram, Mir Mohsen, Moradi, AliReza, Ouchani, Mahshad |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Hindawi
2021
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8100410/ https://www.ncbi.nlm.nih.gov/pubmed/34007305 http://dx.doi.org/10.1155/2021/5514839 |
Ejemplares similares
-
Diagnosis of Alzheimer's Disease by Time-Dependent Power Spectrum Descriptors and Convolutional Neural Network Using EEG Signal
por: Amini, Morteza, et al.
Publicado: (2021) -
GC-CNNnet: Diagnosis of Alzheimer's Disease with PET Images Using Genetic and Convolutional Neural Network
por: Amini, Morteza, et al.
Publicado: (2022) -
Single and Combined Neuroimaging Techniques for Alzheimer's Disease Detection
por: Amini, Morteza, et al.
Publicado: (2021) -
A Review of Methods of Diagnosis and Complexity Analysis of Alzheimer's Disease Using EEG Signals
por: Ouchani, Mahshad, et al.
Publicado: (2021) -
The Neural Correlates of Problem States: Testing fMRI Predictions of a Computational Model of Multitasking
por: Borst, Jelmer P., et al.
Publicado: (2010)