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arXiv AI By Devansh Lalwani, Swapnil Bhat, Maulik Shah

Aligning Cellular Sheaves with Classifier Attention for Interpretable Weakly-Supervised Pathology Localization

Read the original on arXiv AI →

arXiv:2606. 00092v1 Announce Type: cross Abstract: Weakly-supervised classification of whole-slide images with attention-based multiple instance learning (ABMIL) on top of foundation features now reaches near-saturation on Camelyon16 slide-level performance, but the corresponding attention maps are an imperfect localization signal: in clinical interpretation, a model that classifies correctly without firing on the actual lesion is hard to trust.

Summary generated by The Flow from the publisher's feed. The full article lives at arXiv AI.

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