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A versatile anomaly detection method for medical images with a flow-based generative model in semi-supervision setting
[article]
2020
arXiv
pre-print
Oversight in medical images is a crucial problem, and timely reporting of medical images is desired. Therefore, an all-purpose anomaly detection method that can detect virtually all types of lesions/diseases in a given image is strongly desired. However, few commercially available and versatile anomaly detection methods for medical images have been provided so far. Recently, anomaly detection methods built upon deep learning methods have been rapidly growing in popularity, and these methods
arXiv:2001.07847v3
fatcat:34fdvsls3nhxndymis523ak33u