Cargando…
On Improved 3D-CNN-Based Binary and Multiclass Classification of Alzheimer's Disease Using Neuroimaging Modalities and Data Augmentation Methods
Alzheimer's disease (AD) is an irreversible illness of the brain impacting the functional and daily activities of elderly population worldwide. Neuroimaging sensory systems such as Magnetic Resonance Imaging (MRI) and Positron Emission Tomography (PET) measure the pathological changes in the br...
Autores principales: | Tufail, Ahsan Bin, Ullah, Kalim, Khan, Rehan Ali, Shakir, Mustafa, Khan, Muhammad Abbas, Ullah, Inam, Ma, Yong-Kui, Ali, Md. Sadek |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Hindawi
2022
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8856791/ https://www.ncbi.nlm.nih.gov/pubmed/35186220 http://dx.doi.org/10.1155/2022/1302170 |
Ejemplares similares
-
3D convolutional neural networks-based multiclass classification of Alzheimer’s and Parkinson’s diseases using PET and SPECT neuroimaging modalities
por: Tufail, Ahsan Bin, et al.
Publicado: (2021) -
Retracted: On Improved 3D-CNN-Based Binary and Multiclass Classification of Alzheimer's Disease Using Neuroimaging Modalities and Data Augmentation Methods
por: Healthcare Engineering, Journal of
Publicado: (2023) -
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) -
A Novel Hybrid Deep Learning Model for Metastatic Cancer Detection
por: Ahmad, Shahab, et al.
Publicado: (2022) -
Voxel-Wise Feature Selection Method for CNN Binary Classification of Neuroimaging Data
por: Messina, Domenico, et al.
Publicado: (2021)