Deep learning based diagnosis of Parkinson’s disease using convolutional neural network

• Published in: Multimedia tools and applications Vol. 79; no. 21-22; pp. 15467 - 15479
• Main Authors: Sivaranjini, S., Sujatha, C. M.
• Format: Journal Article
• Language: English
• Published: New York Springer US 01.06.2020; Springer Nature B.V
• Subjects: Artificial neural networks; Brain; Computer Communication Networks; Computer Science; Data Structures and Information Theory; Deep learning; Diagnosis; Disease control; Dopamine; Image classification; Magnetic resonance imaging; Medical imaging; Motors; Multimedia Information Systems; Neural networks; Parkinson's disease; Signs and symptoms; Special Purpose and Application-Based Systems; Deep learning; AlexNet; Convolutional neural networks; MRI; Parkinson’s disease

Parkinson’s disease is the second most common degenerative disease caused by loss of dopamine producing neurons. The substantia nigra region is deprived of its neuronal functions causing striatal dopamine deficiency which remains as hallmark in Parkinson’s disease. Clinical diagnosis reveals a range...