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GAN-Based Synthetic FDG PET Images from T1 Brain MRI Can Serve to Improve Performance of Deep Unsupervised Anomaly Detection Models.
Daria Zotova
Julien Jung
Carole Lartizien
Published in:
SASHIMI@MICCAI (2021)
Keyphrases
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brain mri
image data
image analysis
input image
three dimensional
anatomical structures
positron emission tomography
pet images
pairwise
image registration
edge detection
segmentation method
clinical applications