Harmonizing florbetapir and PiB PET measurements of cortical A plaque burden using unpaired regions‐of‐interest features

Abstract

Background: , we propose a Cycle‐GAN based harmonization model which eliminates the need of paired data for model training. Only a small fraction of paired data are required for model selection. By utilizing a larger number of unpaired data, it is expected to have better generality compared to using only a small number of paired data.

The paper