Cargando…
Alzheimer’s Disease Early Detection Using a Low Cost Three-Dimensional Densenet-121 Architecture
The objective of this work is to detect Alzheimer’s disease using Magnetic Resonance Imaging. For this, we use a three-dimensional densenet-121 architecture. With the use of only freely available tools, we obtain good results: a deep neural network showing metrics of 87% accuracy, 87% sensitivity (m...
Autores principales: | Solano-Rojas, Braulio, Villalón-Fonseca, Ricardo, Marín-Raventós, Gabriela |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
2020
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7313295/ http://dx.doi.org/10.1007/978-3-030-51517-1_1 |
Ejemplares similares
-
A Low-Cost Three-Dimensional DenseNet Neural Network for Alzheimer’s Disease Early Discovery †
por: Solano-Rojas, Braulio, et al.
Publicado: (2021) -
Three-dimensional DenseNet self-attention neural network for automatic detection of student’s engagement
por: Mehta, Naval Kishore, et al.
Publicado: (2022) -
Multichannel DenseNet Architecture for Classification of Mammographic Breast Density for Breast Cancer Detection
por: Pawar, Shivaji D., et al.
Publicado: (2022) -
Diagnosis of Coronavirus Disease From Chest X-Ray Images Using DenseNet-169 Architecture
por: Dalvi, Pooja Pradeep, et al.
Publicado: (2023) -
Three-dimensional chromatin architecture datasets for aging and Alzheimer’s disease
por: Meng, Guofeng, et al.
Publicado: (2023)