Deep learning reveals Alzheimer's disease onset in MCI subjects: Results from an international challenge

• Published in: Journal of neuroscience methods Vol. 302; pp. 3 - 9
• Main Authors: Amoroso, Nicola, Diacono, Domenico, Fanizzi, Annarita, La Rocca, Marianna, Monaco, Alfonso, Lombardi, Angela, Guaragnella, Cataldo, Bellotti, Roberto, Tangaro, Sabina
• Format: Journal Article
• Language: English
• Published: Netherlands Elsevier B.V 15.05.2018
• Subjects: Alzheimer Disease - classification; Alzheimer Disease - diagnostic imaging; Alzheimer's disease; Brain - diagnostic imaging; Cognitive Dysfunction - classification; Cognitive Dysfunction - diagnostic imaging; Deep Learning; Disease Progression; Fuzzy logic; Humans; Image Interpretation, Computer-Assisted - methods; Magnetic Resonance Imaging; MCI; MRI; Pattern Recognition, Automated; Deep learning; Fuzzy logic; MCI; MRI; Alzheimer's disease

•A classification strategy based on Random Forest feature selection and Deep Neural Network is proposed.•The work demonstrated the accuracy of deep learning strategies for early detection of Alzheimer's disease.•This work ranked third for overall accuracy over all participating teams of the “In...