computational pathology 1few-shot learning 1knowledge distillation 1multiple instance learning 1pretraining 1
From the 1 of 2 linked papers with an AI index.
2 papers
cs.CV2026
Pretraining Multiple Instance Learning Networks with Multi-Teacher Distillation from Pathology Slide Foundation Models
Mingxi Fu, Jiawen Li, Renao Yan +4
The paper introduces a distillation-based pretraining framework that transfers knowledge from two slide-level foundation models into multiple instance learning (MIL) networks for w…
cs.CV2026
ALICE: Learning a General-Purpose Pathology Foundation Model from Vision, Vision-Language, and Slide-Level Experts
Jiawen Li, Tian Guan, Huijuan Shi +5
Foundation models are reshaping computational pathology, yet their capabilities remain shaped by pretraining objectives, data sources, and spatial scales, fragmenting complementary…