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Pathway-Structured Privileged Distillation for Deployable Computational Pathology
Arxiv
0+阅读 · 6月12日
AGE-MIL: Anchor-Guided Evidence Learning for Patient-Level Prediction
Arxiv
0+阅读 · 6月10日
Mixture of Mini Experts: Overcoming the Linear Layer Bottleneck in Multiple Instance Learning
Arxiv
0+阅读 · 3月23日
GOLDMARK: Governed Outcome-Linked Diagnostic Model Assessment Reference Kit
Arxiv
0+阅读 · 3月21日
Stuck on Suggestions: Automation Bias, the Anchoring Effect, and the Factors That Shape Them in Computational Pathology
Arxiv
0+阅读 · 3月13日
Stuck on Suggestions: Automation Bias, the Anchoring Effect, and the Factors That Shape Them in Computational Pathology
Arxiv
0+阅读 · 3月12日
Computational Pathology in the Era of Emerging Foundation and Agentic AI -- International Expert Perspectives on Clinical Integration and Translational Readiness
Arxiv
0+阅读 · 3月11日
Computational Pathology in the Era of Emerging Foundation and Agentic AI -- International Expert Perspectives on Clinical Integration and Translational Readiness
Arxiv
0+阅读 · 3月6日
A Deployment-Friendly Foundational Framework for Efficient Computational Pathology
Arxiv
0+阅读 · 2月15日
Unifying Multiple Foundation Models for Advanced Computational Pathology
Arxiv
0+阅读 · 2月13日
Fusing Pixels and Genes: Spatially-Aware Learning in Computational Pathology
Arxiv
0+阅读 · 2月15日
StainNet: Scaling Self-Supervised Foundation Models on Immunohistochemistry and Special Stains for Computational Pathology
Arxiv
0+阅读 · 2月4日
Atlas 2 -- Foundation models for clinical deployment
Arxiv
0+阅读 · 1月8日
LSP-DETR: Efficient and Scalable Nuclei Segmentation in Whole Slide Images
Arxiv
0+阅读 · 1月6日
MambaMIL+: Modeling Long-Term Contextual Patterns for Gigapixel Whole Slide Image
Arxiv
0+阅读 · 2025年12月19日
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