COBRA trains a Mamba-2-based slide encoder with contrastive learning across multiple foundation models and magnifications, beating prior slide encoders by +4.4% average AUC on CPTAC with only 3,048 TCGA pretraining slides.
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Unsupervised Foundation Model-Agnostic Slide-Level Representation Learning
COBRA trains a Mamba-2-based slide encoder with contrastive learning across multiple foundation models and magnifications, beating prior slide encoders by +4.4% average AUC on CPTAC with only 3,048 TCGA pretraining slides.