AI RESEARCH
Validation of Whole-Slide Foundation Models for Image Retrieval in TCGA Data
arXiv CS.CV
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ArXi:2605.00902v1 Announce Type: new Foundation models are reshaping computational histopathology, yet their value for whole-slide image retrieval relative to strong patch-based and supervised aggregation baselines remains unclear. We benchmarked ten pipelines on 9,387 diagnostic slides spanning 17 organs and 60 diagnoses from The Cancer Genome Atlas (TCGA) using patient-level leave-one-patient-out evaluation.