Graph-theory-based spectral feature selection for computer aided diagnosis of Parkinson's disease using T1-weighted MRI
Parkinson's disease (PD) is a neurological disorder, which is diagnosed on the basis of clinical history and examination alone as there are no diagnostic tests available. However, the current diagnosis highly depends on the knowledge and experience of clinicians and hence subjective in nature. Thus, the focus of this study is to develop a computer-aided diagnosis (CAD) method using T1-weighted magnetic resonance imaging (MRI) to differentiate PD from controls.
spectral feature selection parkinson's disease computer-aided diagnosis magnetic resonance imaging