Can I read A Low-Cost Three-Dimensional DenseNet Neural Network for Alzheimer’s Disease Early Discovery on EtoBox?

A Low-Cost Three-Dimensional DenseNet Neural Network for Alzheimer’s Disease Early Discovery by Braulio Solano-Rojas; Ricardo Villalón-Fonseca is a Engineering article available to read on EtoBox.

What is A Low-Cost Three-Dimensional DenseNet Neural Network for Alzheimer’s Disease Early Discovery about?

Alzheimer’s disease is the most prevalent dementia among the elderly population. Early detection is critical because it can help with future planning for those potentially affected. This paper uses a three-dimensional DenseNet architecture to detect Alzheimer’s disease in magnetic resonance imaging. Our work is restricted to the use of freely available tools. We constructed a deep neural network classifier with metrics of 0.86 ̄ mean accuracy, 0.86 ̄ mean sensitivity (micro-average), 0.86 ̄ mean specificity (micro-average), and 0.91 ̄ area under the receiver operating characteristic curve (micro-average) for the task of discriminating between five different disease stages or classes. The use of tools available for free ensures the reproducibility of the study and the applicability of the classification system in developing countries.

Who reads A Low-Cost Three-Dimensional DenseNet Neural Network for Alzheimer’s Disease Early Discovery?

Author

Braulio Solano-Rojas; Ricardo Villalón-Fonseca

Publisher

MDPI AG

Published

2021

Language

EN

Field

Engineering (Physical Sciences)