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Classification of Structural MRI Images in Alzheimer's Disease from the Perspective of Ill-Posed Problems
BACKGROUND: Machine learning neuroimaging researchers have often relied on regularization techniques when classifying MRI images. Although these were originally introduced to deal with "ill-posed" problems it is rare to find studies that evaluate the ill-posedness of MRI image classification problem
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