Rethinking Autoencoders for Medical Anomaly Detection from A Theoretical Perspective

Yu Cai, Hao Chen, Kwang-Ting Cheng

Medical anomaly detection aims to identify abnormal findings using only normal training data, playing a crucial role in health screening and recognizing rare diseases. Reconstructi…