High Accuracy Classification of Parkinson's Disease through Shape Analysis and Surface Fitting in $^{123}$I-Ioflupane SPECT Imaging

no code implementations • 4 Mar 2017 • R. Prashanth, Sumantra Dutta Roy, Pravat K. Mandal, Shantanu Ghosh

We use these features to develop and compare various classification models that can discriminate between scans showing dopaminergic deficit, as in PD, from scans without the deficit, as in healthy normal or SWEDD.

Feature Importance General Classification +1