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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Proposes the AIVT conceptual framework for unified AI-driven tissue state representation, molecular/morphological prediction, and spatiotemporal simulation from spatial multimodal data.
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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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Building artificial intelligence virtual tissue (AIVT) for tissue state representation, feature prediction, and dynamic simulation
Proposes the AIVT conceptual framework for unified AI-driven tissue state representation, molecular/morphological prediction, and spatiotemporal simulation from spatial multimodal data.