Improved amyloid burden quantification with nonspecific estimates using deep learning

• Main Authors: Liu, Haohui, Nai, Ying-Hwey, Saridin, Francis, Tanaka, Tomotaka, O' Doherty, Jim, Hilal, Saima, Gyanwali, Bibek, Chen, Christopher P, Robins, Edward G, Reilhac, Anthonin
• Other Authors: SOLAR ENERGY RESEARCH INST OF S'PORE
• Format: Article
• Language: English
• Published: SPRINGER 2022
• Subjects: Science & Technology; Life Sciences & Biomedicine; Radiology, Nuclear Medicine & Medical Imaging; Alzheimer's disease; Amyloid; Positron emission tomography (PET); Quantification; Deep learning; Nonspecific uptake; COGNITIVE IMPAIRMENT; BRAIN; SEGMENTATION; PERFORMANCE; DISEASE
• Online Access: https://scholarbank.nus.edu.sg/handle/10635/218776
• Institution: National University of Singapore

10.1007/s00259-020-05131-z