Computer-aided diagnosis of Parkinson’s disease based on [¹²³I]FP-CIT SPECT binding potential images, using the voxels-as-features approach and support vector machines

Abstract

The achieved classification accuracy was very high and, in fact, higher than accuracies found in previous studies reported in the literature. In addition, results were obtained on a large dataset of early Parkinson's disease subjects. In summation, the information provided by the developed computational solution potentially supports clinical decision-making in nuclear medicine, using important additional information beyond the commonly used uptake ratios and respective statistical comparisons. (ClinicalTrials.gov Identifier: NCT01141023).

Ähnliche Arbeiten