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CLEAR-HPV: Interpretable Concept Discovery for HPV-Associated Morphology in Whole-Slide Histology

2026-02-06

Abstract excerpt

<h4>SUMMARY</h4> Human papillomavirus (HPV) status is a critical determinant of prognosis and treatment response in head and neck and cervical cancers. Although attention-based multiple instance learning (MIL) achieves strong slide-level prediction for HPV-related whole-slide histopathology, it provides limited morphologic interpretability. To address this limitation, we introduce Concept-Level Explainable Attent...

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Literature Corpus work
3bf1b837-6e5a-58aa-916c-0985c892854f
DOI
10.64898/2026.02.04.703870
Open publication

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CLEAR-HPV: Interpretable Concept Discovery for HPV-Associated Morphology in Whole-Slide HistologyDOI 10.64898/2026.02.04.703870
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