SATOMIL estimates patient-level ulcerative colitis severity from multiple endoscopic images using selective aggregator tokens, outperforming existing MIL methods and simple image-level baselines on two datasets.
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Ordinal Multiple-instance Learning for Ulcerative Colitis Severity Estimation with Selective Aggregated Transformer
SATOMIL estimates patient-level ulcerative colitis severity from multiple endoscopic images using selective aggregator tokens, outperforming existing MIL methods and simple image-level baselines on two datasets.