Unsupervised Single-Class Anomaly Detection in Rat Liver Using a Model of Normal Histomorphology.
An unsupervised, single-class anomaly detection approach based on a vision transformer architecture was developed to aid histopathology evaluation of rat liver from nonclinical toxicology studies. The approach was designed to detect any histopathology finding without requiring specific histopathology examples for train...