A Fully Automatic Framework for Parkinson’s Disease Diagnosis by Multi-Modality Images

摘要

BackgroundParkinson’s disease (PD) is a prevalent long-term neurodegenerative disease. Though the criteria of PD diagnosis are relatively well defined, current diagnostic procedures using medical images are labor-intensive and expertise-demanding. Hence, highly integrated automatic diagnostic algorithms are desirable.