Unsupervised anomaly detection with generative adversarial networks in mammography

Transfer Learning: Definition, Tutorial & Applications

A schematic diagram representing an inception block. (Chollet [23]).

GANomaly Paper Review: Semi-Supervised Anomaly Detection via Adversarial Training, by Eugenia Anello

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

Comparison between the CNN and the mean of the radiologists.

Prior-guided generative adversarial network for mammogram synthesis - ScienceDirect

A generative adversarial network for synthetization of regions of interest based on digital mammograms

Inter-reader identified-landmark position difference for 42 landmarks.

Unsupervised anomaly detection with generative adversarial networks in mammography

Recent advancements in machine learning and deep learning-based breast cancer detection using mammograms - Physica Medica: European Journal of Medical Physics

Breast Mass Detection in Mammograms via Blending Adversarial Learning

An approach for unsupervised contextual anomaly detection and characterization - IOS Press

MADGAN: unsupervised medical anomaly detection GAN using multiple adjacent brain MRI slice reconstruction. - Abstract - Europe PMC