most citedDeep Learning-based Anomaly Detection on X-ray Images of Fuel Cell Electrodes

2 citations · 2 across the 1 of their papers we have counts for

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1 paper

cs.CV2022★ 2 cited

Deep Learning-based Anomaly Detection on X-ray Images of Fuel Cell Electrodes

Simon B. Jensen, Thomas B. Moeslund, Søren J. Andreasen

Anomaly detection in X-ray images has been an active and lasting research area in the last decades, especially in the domain of medical X-ray images. For this work, we created a re…