MIAS-SAM: Medical Image Anomaly Segmentation without thresholding

Marco Colussi, Dragan Ahmetovic, Sergio Mascetti

This paper presents MIAS-SAM, a novel approach for the segmentation of anomalous regions in medical images. MIAS-SAM uses a patch-based memory bank to store relevant image features…