“In these last 40 years, improved computational power and storage capacity have led to numerous advances in developing non-invasive and low-cost structural biomarkers for AD that combine neuroimaging approaches, in particular structural MRI, with machine learning,” the researchers wrote.
Magnetic resonance imaging scans were subdivided into 115 sub-regions of which there were 45 regions in the brain’s white matter, and 70 regions in the subcortical areas. Over 650 diverse features such as wavelet, intensity, texture, shape, and size were assigned to each region for assessment.
tweetycami Finally a productive use for algorithms, that doesn’t damage the thinking skills of humanity! Nice.
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