Tiled sparse coding in eigenspaces for image classification
The automation in the diagnosis of medical images is currently a challenging task. The use
of Computer Aided Diagnosis (CAD) systems can be a powerful tool for clinicians, especially …
of Computer Aided Diagnosis (CAD) systems can be a powerful tool for clinicians, especially …
[HTML][HTML] MVPAlab: A machine learning decoding toolbox for multidimensional electroencephalography data
Abstract Background and Objective The study of brain function has recently expanded from
classical univariate to multivariate analyses. These multivariate, machine learning-based …
classical univariate to multivariate analyses. These multivariate, machine learning-based …
Study and analysis of various COVID-19 prediction techniques using CT images: A challenging overview
SJ Dhamele, G Niranjana - 2023 International Conference on …, 2023 - ieeexplore.ieee.org
coronavirus disease (COVID-19) has scattering quickly across a globe due to its
exceedingly infectious natural world and is affirmed as epidemic by World Health …
exceedingly infectious natural world and is affirmed as epidemic by World Health …
[PDF][PDF] Procesado avanzado de señales de electroencefalografía y resonancia magnética en Neurociencia Cognitiva
D López García - 2023 - digibug.ugr.es
The use of machine learning algorithms in the Neuroscience field has revolutionized the
way we study and analyze the brain function. Since 1939, when the first Event-Related …
way we study and analyze the brain function. Since 1939, when the first Event-Related …
Tiled sparse coding in eigenspaces for the COVID-19 diagnosis in chest X-ray images
The ongoing crisis of the COVID-19 (Coronavirus disease 2019) pandemic has changed the
world. According to the World Health Organization (WHO), 4 million people have died due to …
world. According to the World Health Organization (WHO), 4 million people have died due to …