arXiv cs.CV
· Papers
Multi-Teacher Contrastive Distillation for Edge-Efficient Pathology Foundation Models
arXiv:2607.05533v1 Announce Type: new Abstract: Computational pathology foundation models (PFMs) have advanced whole-slide image analysis. However, their size and inference cost hinder local deployment in pathology departments. We propose MuCoDi, a pretraining framework that distills frozen tile embeddings from multipl