Unsupervised anomaly detection in digital pathology using GANs

Milda Pocevičiūtė, Gabriel Eilertsen, Claes Lundström

Machine learning (ML) algorithms are optimized for the distribution represented by the training data. For outlier data, they often deliver predictions with equal confidence, even t…