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Anjia Han

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Jul 2026

ALICE: Learning a General-Purpose Pathology Foundation Model from Vision, Vision-Language, and Slide-Level Experts

This work presents ALICE, a unified foundation model trained through multi-stage agglomerative distillation that sequentially distills eight vision-only, vision-language, and slide-level teacher models into dedicated modules of a single backbone for broad computational pathology applications.

Jiawen Li, Tian Guan, Huijuan Shi et al. · 0 citations

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