Amyloid PET imaging is used as a non-invasive method to assess cortical amyloid burden in patients with Alzheimer’s disease (AD). The standard approach for the interpretation of amyloid PET is the visual reading performed by experts, which involves inherent limitations associated with the inter-reader variability. In this work, we propose a novel amyloid PET visual interpretation support system that aims to improve the confidence of visual reading through the use of a convolutional neural network (CNN)
Usefulness of convolutional neural network as interpretation support system for amyloid PET
M. Mazzei
Primo
Methodology
;
2022
Abstract
Amyloid PET imaging is used as a non-invasive method to assess cortical amyloid burden in patients with Alzheimer’s disease (AD). The standard approach for the interpretation of amyloid PET is the visual reading performed by experts, which involves inherent limitations associated with the inter-reader variability. In this work, we propose a novel amyloid PET visual interpretation support system that aims to improve the confidence of visual reading through the use of a convolutional neural network (CNN)File in questo prodotto:
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