Transfer Learning Assisted Classification and Detection of Alzheimer’s Disease Stages Using 3D MRI Scans

• Published in: Sensors (Basel, Switzerland) Vol. 19; no. 11; p. 2645
• Main Authors: Maqsood, Muazzam, Nazir, Faria, Khan, Umair, Aadil, Farhan, Jamal, Habibullah, Mehmood, Irfan, Song, Oh-young
• Format: Journal Article
• Language: English
• Published: Switzerland MDPI AG 11.06.2019; MDPI
• Subjects: Accuracy; Aged; AlexNet; Algorithms; Alzheimer Disease - diagnosis; Alzheimer Disease - physiopathology; Alzheimer’s Detection; Artificial intelligence; Brain - diagnostic imaging; Brain - physiopathology; Brain research; Classification; Computer science; contrast stretching; Datasets; Dementia; Early Diagnosis; Humans; ImageNet; K-Mean clustering; Machine learning; Magnetic Resonance Imaging; Medical imaging; Neural networks; R&D; Research & development; Software; transfer learning; United States > US; Pakistan; Singapore; AlexNet; transfer learning; K-Mean clustering; Alzheimer’s Detection; contrast stretching; ImageNet

Alzheimer’s disease effects human brain cells and results in dementia. The gradual deterioration of the brain cells results in disability of performing daily routine tasks. The treatment for this disease is still not mature enough. However, its early diagnosis may allow restraining the spread of dis...