Spatial transcriptomics (ST) profiles gene expression within tissue architecture, but its cost and experimental complexity limit routine use. Predicting spatial expression from routinely available hematoxylin and eosin (HE) images therefore offers a scalable alternative. However, conventional methods often fit high-dim...
Shi-Ting Ruan, Xi-Tong Ling, Qi-Ming He et al.· 0 citations
Multiple instance learning (MIL) is widely used for weakly supervised whole slide image (WSI) analysis. However, under long-tailed distributions, MIL-based WSI analysis faces a nested dual long-tail: an inter-slide class long tail and an intra-slide long tail of instance-level discriminative evidence. The two long tail...
Xiao-Xiao Li, Xi-Tong Ling, Jiawen Li et al.· 0 citations
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.· arXiv.org· 0 citations
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