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P1‐118: QUANTIFICATION OF AMYLOID BURDEN FROM FLORBETAPIR PET WITHOUT USING TARGET AND REFERENCE REGIONS: PRELIMINARY FINDINGS BASED ON THE DEEP LEARNING 3D CONVOLUTIONAL NEURAL NETWORK APPROACH
Author(s) -
Yuan Ye,
Wang Zhangyang,
Lee Wendy,
VanGilder Paul,
Chen Yinghua,
Reiman Eric M.,
Chen Kewei
Publication year - 2018
Publication title -
alzheimer's and dementia
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 6.713
H-Index - 118
eISSN - 1552-5279
pISSN - 1552-5260
DOI - 10.1016/j.jalz.2018.06.121
Subject(s) - convolutional neural network , pattern recognition (psychology) , artificial intelligence , spatial normalization , mean squared error , deep learning , pooling , standardized uptake value , normalization (sociology) , positron emission tomography , computer science , alzheimer's disease neuroimaging initiative , correlation , mathematics , nuclear medicine , alzheimer's disease , pathology , statistics , medicine , voxel , disease , geometry , sociology , anthropology