Unsupervised visual anomaly detection methods will be developed on available imagery data (histology images, MR images, radiology images) to detect anomalies (e.g. tumours, metastases) without the need for expertly labeled lesion level data. Research will be performed as part of the iPC EU Horizon 2020 project and PIs PhD study.
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