Anomaly Detection with Deep Perceptual Autoencoders

23 Jun 2020Nina TuluptcevaBart BakkerIrina FedulovaHeinrich SchulzDmitry V. Dylov

Anomaly detection is the problem of recognizing abnormal inputs based on the seen examples of normal data. Despite recent advances of deep learning in recognizing image anomalies, these methods still prove incapable of handling complex medical images, such as barely visible abnormalities in chest X-rays and metastases in lymph nodes... (read more)

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