nnOOD: A Framework for Benchmarking Self-supervised Anomaly Localisation Methods

Matthew Baugh, Jeremy Tan, Athanasios Vlontzos +2

The wide variety of in-distribution and out-of-distribution data in medical imaging makes universal anomaly detection a challenging task. Recently a number of self-supervised metho…