most citedLearning image representations for anomaly detection: application to discovery of histological alterations in drug development

25 citations · 25 across the 1 of their papers we have counts for

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1 paper

cs.CV2022★ 25 cited

Learning image representations for anomaly detection: application to discovery of histological alterations in drug development

Igor Zingman, Birgit Stierstorfer, Charlotte Lempp +1

We present a system for anomaly detection in histopathological images. In histology, normal samples are usually abundant, whereas anomalous (pathological) cases are scarce or not a…