Article

A Unified Conditional Framework for Unsupervised Anomaly Detection

2024-08-09

Abstract excerpt

<title>Abstract</title> <p>Unsupervised anomaly detection methods based on Generative Adversarial Networks (GANs) have gained momentum tremendous in medical applications. However, due to the diverse range of anomalies encountered in real-world clinical settings, the utilization of GANs remains constrained to addressing one specific pathology per model. This paper introduces an innovative unsupervisedapproach to p...

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Literature Corpus work: 97249c58-e785-58a9-9632-d9b87b1a61ce
DOI: 10.21203/rs.3.rs-4736604/v1

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