Deep learning detection of informative features in tau PET for Alzheimer's disease classification.

Taeho JoKwangsik NhoShannon L RisacherAndrew J Saykinnull null

Published in: BMC bioinformatics (2020)

A deep learning framework combining 3D CNN and LRP algorithms can be used with tau PET images to identify informative features for AD classification and may have application for early detection during prodromal stages of AD.

Keyphrases

deep learning
convolutional neural network
artificial intelligence
machine learning
pet ct
positron emission tomography
computed tomography
cerebrospinal fluid
pet imaging
parkinson disease
label free
loop mediated isothermal amplification
real time pcr
optical coherence tomography
mild cognitive impairment