Unsupervised anomaly detection with generative adversarial networks in mammography

Eric Feuilleaubois (Ph.D) en LinkedIn: Unsupervised anomaly detection with generative adversarial networks in…

Unsupervised feature correlation model to predict breast abnormal variation maps in longitudinal mammograms - ScienceDirect

Unsupervised anomaly detection with generative adversarial networks in mammography

Comparison of the quality of segmentation based on the number of seed

Breast Mass Detection in Mammograms via Blending Adversarial Learning

Deep learning, radiomics and radiogenomics applications in the digital breast tomosynthesis: a systematic review, BMC Bioinformatics

Graph-Based Log Anomaly Detection via Adversarial Training

Conceptual architecture of PGGAN for training. PGGAN synthesizes images

Anomaly Detection Using Generative Models and Sum-Product Networks in Mammography Scans

A survey on generative adversarial networks for imbalance problems in computer vision tasks, Journal of Big Data

Flowchart representing the overall process.

Biomimetics, Free Full-Text

Unsupervised Learning, unsupervised anomaly detection framework.