GAN-based synthetic FDG PET images from T1 brain MRI can serve to improve performance of deep unsupervised anomaly detection models
Daria Zotova, Nicolas Pinon, Robin Trombetta, Romain Bouet, Julien Jung, Carole Lartizien
Topics & Concepts
Anomaly detectionComputer scienceArtificial intelligencePattern recognition (psychology)Positron emission tomographyMedicineRadiologyDigital Media Forensic DetectionAdvanced Neural Network ApplicationsAnomaly Detection Techniques and Applications