Medical image synthesis is a challenging task due to the scarcity of pai...
Convolutional neural networks (CNNs) have gained significant popularity ...
Unsupervised anomaly detection (UAD) learns one-class classifiers exclus...
In this paper, we address the problem of weakly-supervised video anomaly...
In this paper, we propose and analyse a system that can automatically de...
Anomaly detection methods generally target the learning of a normal imag...
The automatic detection of frames containing polyps from a colonoscopy v...