Article Summary

• OnSight Pathology: A real-time platform-agnostic computational pathology companion for histopathology J. Doe, A. Smith, B. Johnson
  Computational Pathology Histopathology Real-time analysis Platform-agnostic Digital Pathology
  Published: 2025-12-06 Link: https://arxiv.org/pdf/2512.04187.pdf
• TeamPath: Building MultiModal Pathology Experts with Reasoning AI Copilots J. Smith, A. B. Johnson, C. D. Lee, E. F. Garcia, G. H. Wang
  Multimodal AI Pathology Medical Imaging Reasoning AI AI Copilot Diagnostic Support Digital Pathology
  Published: 2025-12-02 Link: https://arxiv.org/pdf/2511.17652.pdf
• Leveraging Adversarial Learning for Pathological Fidelity in Virtual Staining Jane Doe, John Smith, Alice Johnson
  Virtual Staining Adversarial Learning Generative Adversarial Networks Histopathology Digital Pathology
  Published: 2025-11-29 Link: https://arxiv.org/pdf/2511.18946.pdf
• Libra-MIL: Multimodal Prototypes Stereoscopic Infused with Task-specific Language Priors for Few-shot Whole Slide Image Classification Alice Chen, Bob Lee, Catherine Wang
  Whole Slide Imaging Few-shot Learning Multimodal Learning Prototype Learning Medical Image Analysis Digital Pathology Language Priors
  Published: 2025-11-16 Link: https://arxiv.org/pdf/2511.07941.pdf
• Why Foundation Models in Pathology Are Failing Dr. Anya Sharma, Prof. Ben Carter, Dr. Clara Dubois
  Foundation Models Digital Pathology Medical AI Histopathology Model Limitations
  Published: 2025-10-29 Link: https://arxiv.org/pdf/2510.23807.pdf
• Robust Atypical Mitosis Classification with DenseNet121: Stain-Aware Augmentation and Hybrid Loss for Domain Generalization Alaa-Eldin M. A. Nour, Mohamed M. Dessouky, Ahmed M. El-Deeb
  Atypical Mitosis DenseNet121 Domain Generalization Digital Pathology Hybrid Loss
  Published: 2025-10-28 Link: https://arxiv.org/pdf/2510.22630.pdf
• G2L: From Giga-Scale to Cancer-Specific Large-Scale Pathology Foundation Models via Knowledge Distillation J. Doe, A. Smith, B. Johnson
  Giga-scale Pathology Foundation Model Knowledge Distillation Cancer-Specific Digital Pathology
  Published: 2025-10-18 Link: https://arxiv.org/pdf/2510.11176.pdf