A model pretrained on synthetic bag-structured data performs in-context learning for new MIL tasks from a handful of examples and outperforms task-specific supervised baselines on twelve benchmarks.
Mind the gap: Continuous magnification sampling for pathology foundation models
2 Pith papers cite this work. Polarity classification is still indexing.
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DaX is a pathology vision foundation model that extends DINOv3 with continuous magnification training and cross-scale consistency, achieving top average performance on a benchmark of 161 tasks from 44 datasets covering 28k patients.
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In-Context Multiple Instance Learning
A model pretrained on synthetic bag-structured data performs in-context learning for new MIL tasks from a handful of examples and outperforms task-specific supervised baselines on twelve benchmarks.