Unsupervised anomaly detection with generative adversarial networks in mammography
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A generative adversarial network-based abnormality detection using only normal images for model training with application to digital breast tomosynthesis
MADGAN: unsupervised medical anomaly detection GAN using multiple adjacent brain MRI slice reconstruction. - Abstract - Europe PMC
Applied Sciences, Free Full-Text
GAN for unsupervised anomaly detection on X-ray images., by Phúc Lê, Vitalify Asia
Unsupervised feature correlation model to predict breast abnormal variation maps in longitudinal mammograms - ScienceDirect
Applied Sciences, Free Full-Text
PDF) Unsupervised anomaly detection with generative adversarial networks in mammography
Clinical simulation test a Randomized crossover study design. b
Breast Mass Detection in Mammograms via Blending Adversarial Learning
Deep Generative Models
A generative adversarial network for synthetization of regions of interest based on digital mammograms
Unsupervised anomaly detection with generative adversarial networks in mammography
Generative Adversarial Irregularity Detection in Mammography Images
Definition of anomaly on different visual scenes, where Running‐A and
