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Young-Hee Park

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#machine learning Preprint Sep 2026

FFM-CP: Cross-Backbone Fusion of Vision-Language Foundation Models for Few-Shot Computational Pathology

Pathology vision-language foundation models vary in performance across diseases and tasks, with no single model consistently performing best. The high cost of expert pathology annotation can also limit the labeled data available for task-specific adaptation. Combining complementary pretrained representations is a poten...

Anh-Tien Nguyen, Trung DQ. Dang, N. T. Diep et al. · 0 citations
#machine learning Preprint Sep 2026

A Federated Artificial Intelligence Framework for Optimizing Pancreatic Cancer Treatment - Strategy Update

While a centralized approach involving patient consent to collect and analyze data centrally would theoretically offer the best data quality and predictive performance, it is not always feasible in practice. Federated Learning (FL) architectures have shown to be a very promising approach to use and access distributed d...

Anne-Christin Hauschild, Amirreza Aleyasin, N. Beyer et al. · 0 citations

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