An Explainable 3D Residual Self-Attention Deep Neural Network for Joint Atrophy Localization and Alzheimer's Disease Diagnosis Using Structural MRI

• Published in: IEEE journal of biomedical and health informatics Vol. 26; no. 11; pp. 5289 - 5297
• Main Authors: Zhang, Xin, Han, Liangxiu, Zhu, Wenyong, Sun, Liang, Zhang, Daoqiang
• Format: Journal Article
• Language: English
• Published: United States IEEE 01.11.2022; The Institute of Electrical and Electronics Engineers, Inc. (IEEE)
• Subjects: 3D CNN; Alzheimer's disease; Artificial intelligence; Artificial neural networks; Atrophy; Brain modeling; Cognitive ability; Deep learning; Diagnosis; Diseases; Feature extraction; Localization; Machine learning; Magnetic resonance imaging; Medical diagnosis; Medical treatment; model explanation/explainable artificial intelligence; MRI brain scans; Neural networks; Neurodegenerative diseases; Neuroimaging; Spatial data; Three-dimensional displays; Ventricle; Ventricles (cerebral)

Computer-aided early diagnosis of Alzheimer's disease (AD) and its prodromal form mild cognitive impairment (MCI) based on structure Magnetic Resonance Imaging (sMRI) has provided a cost-effective and objective way for early prevention and treatment of disease progression, leading to improved p...