LogitProd fuses logits from heterogeneous pathology foundation models via sample-adaptive weights, ranking first on 20 of 22 benchmarks with a 3% average gain over the best single model and 12x lower training cost than feature fusion.
PathBench: A comprehensive comparison benchmark for pathology foundation models towards preci- sion oncology
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H-optimus-1 achieves the strongest externally validated survival prediction from histopathology images, with second-generation PFMs outperforming first-generation counterparts and a compact distilled model offering efficiency gains.
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Plug-and-Play Logit Fusion for Heterogeneous Pathology Foundation Models
LogitProd fuses logits from heterogeneous pathology foundation models via sample-adaptive weights, ranking first on 20 of 22 benchmarks with a 3% average gain over the best single model and 12x lower training cost than feature fusion.
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Benchmarking Pathology Foundation Models for Breast Cancer Survival Prediction
H-optimus-1 achieves the strongest externally validated survival prediction from histopathology images, with second-generation PFMs outperforming first-generation counterparts and a compact distilled model offering efficiency gains.