MMTFN: Multi‐modal multi‐scale transformer fusion network for Alzheimer's disease diagnosis

• Published in: International journal of imaging systems and technology Vol. 34; no. 1
• Main Authors: Miao, Shang, Xu, Qun, Li, Weimin, Yang, Chao, Sheng, Bin, Liu, Fangyu, Bezabih, Tsigabu T., Yu, Xiao
• Format: Journal Article
• Language: English
• Published: Hoboken, USA John Wiley & Sons, Inc 01.01.2024; Wiley Subscription Services, Inc
• Subjects: Alzheimer's disease; attention mechanism; deep learning; Diagnosis; Heterogeneity; Medical imaging; Modal data; multi‐modal fusion; Positron emission; Signs and symptoms; transformer; Transformers

Alzheimer's disease (AD) is a severe neurodegenerative disease that can cause dementia symptoms. Currently, most research methods for diagnosing AD rely on fusing neuroimaging data of different modalities to exploit their heterogeneity and complementarity. However, effectively using such multi‐...