Unsupervised Anomaly Detection in Medical Images Using Hierarchical Variational Autoencoders
Derek Huynh · Tanya Schmah
Abstract
We have developed an Out-of-Distribution (OOD) detection algorithm based on HVAEs with logistic mixture likelihoods, with a likelihood ratio score threshold at test time. We evaluate the method on data from the 2022 Medical OOD (MOOD)and ISLES 2015 challenges.
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