Self-supervised pseudo multi-class pre-training for unsupervised anomaly detection and segmentation in medical images

Overview of attention for article published in Medical Image Analysis, August 2023

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Self-supervised pseudo multi-class pre-training for unsupervised anomaly detection and segmentation in medical images. https://t.co/31vKVmFONf

Check out our recent Medical Image Analysis paper for unsupervised medical anomaly detection/segmentation. This work achieves SOTA results on three different medical datasets. https://t.co/qBojETGLqT

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