Cargando…
Improving Alzheimer's stage categorization with Convolutional Neural Network using transfer learning and different magnetic resonance imaging modalities
BACKGROUND: Alzheimer's Disease (AD) is a neurodegenerative disease characterized by progressive loss of memory and general decline in cognitive functions. Multi-modal imaging such as structural MRI and DTI provide useful information for the classification of patients on the basis of brain biom...
Autores principales: | Aderghal, Karim, Afdel, Karim, Benois-Pineau, Jenny, Catheline, Gwénaëlle |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Elsevier
2020
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7733012/ https://www.ncbi.nlm.nih.gov/pubmed/33336093 http://dx.doi.org/10.1016/j.heliyon.2020.e05652 |
Ejemplares similares
-
Early-Stage Alzheimer’s Disease Categorization Using PET Neuroimaging Modality and Convolutional Neural Networks in the 2D and 3D Domains
por: Tufail, Ahsan Bin, et al.
Publicado: (2022) -
Neuroimaging modality fusion in Alzheimer’s classification using convolutional neural networks
por: Punjabi, Arjun, et al.
Publicado: (2019) -
Deep learning in mining of visual content
por: Zemmari, Akka, et al.
Publicado: (2020) -
Visual content indexing and retrieval with psycho-visual models
por: Benois-Pineau, Jenny, et al.
Publicado: (2017) -
Fast Image Edge Detection based on Faber Schauder Wavelet and Otsu Threshold
por: Azeroual, Assma, et al.
Publicado: (2018)