Multi-class parkinsonian disorders classification with quantitative MR markers and graph-based features using support vector machines

The results obtained in the work demonstrate that support vector machines applied to multimodal brain MR imaging and using graph-based features represent a novel and highly accurate approach to discriminate parkinsonisms, and a useful tool to assist the diagnosis.