MIAS-SAM generates medical anomaly segmentations by memory-bank matching of SAM encoder features, using the anomaly map's center of gravity as a point prompt for the SAM decoder, without thresholding the anomaly map.
Towards accurate unified anomaly segmentation
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MIAS-SAM: Medical Image Anomaly Segmentation without thresholding
MIAS-SAM generates medical anomaly segmentations by memory-bank matching of SAM encoder features, using the anomaly map's center of gravity as a point prompt for the SAM decoder, without thresholding the anomaly map.