Anomaly Detection for Medical Images using Heterogeneous Auto-Encoder
Description
Anomaly detection is an important task for medical image analysis, which can alleviate the reliance of supervised methods on large labelled datasets. Most existing methods use a pixel-wise self-reconstruction framework for anomaly detection. However
