Segmentation of white matter hyperintensities on 18F-FDG PET/CT images with a generative adversarial network.

Kyeong Taek OhDongwoo KimByoung Seok YeSangwon LeeMijin YunSun Kook Yoo

Published in: European journal of nuclear medicine and molecular imaging (2021)

Although limited by visual analysis, the WhyperGAN based can be used to automatically segment and estimate volumes of WMH from 18F-FDG PET/CT. This would increase the usefulness of 18F-FDG PET/CT for the evaluation of WMH in patients with cognitive impairment.

Keyphrases

white matter
cognitive impairment
deep learning
convolutional neural network
multiple sclerosis
optical coherence tomography
machine learning