Lingshu: A Generalist Foundation Model for Unified Multimodal Medical Understanding and Reasoning
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2506.07044
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Published
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113
foundation models
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Current Pathology Foundation Models are unrobust to Medical Center Differences
Paper • 2501.18055 • Published • 3 -
A Multicenter Benchmark of Multiple Instance Learning Models for Lymphoma Subtyping from HE-stained Whole Slide Images
Paper • 2512.14640 • Published • 1 -
Atlas 2 -- Foundation models for clinical deployment
Paper • 2601.05148 • Published • 3 -
Navigating Gigapixel Pathology Images with Large Multimodal Models
Paper • 2511.19652 • Published • 1 -
Distilling foundation models for robust and efficient models in digital pathology
Paper • 2501.16239 • Published • 1 -
PA-LLaVA: A Large Language-Vision Assistant for Human Pathology Image Understanding
Paper • 2408.09530 • Published • 1 -
On the Importance of Text Preprocessing for Multimodal Representation Learning and Pathology Report Generation
Paper • 2502.19285 • Published • 1 -
Patho-AgenticRAG: Towards Multimodal Agentic Retrieval-Augmented Generation for Pathology VLMs via Reinforcement Learning
Paper • 2508.02258 • Published • 1 -
Identification of Cervical Pathology using Adversarial Neural Networks
Paper • 2004.13406 • Published • 1 -
VISTA-PATH: An interactive foundation model for pathology image segmentation and quantitative analysis in computational pathology
Paper • 2601.16451 • Published • 2 -
Content Generation Models in Computational Pathology: A Comprehensive Survey on Methods, Applications, and Challenges
Paper • 2505.10993 • Published • 1 -
Molecular-driven Foundation Model for Oncologic Pathology
Paper • 2501.16652 • Published • 1 -
Revisiting Automatic Data Curation for Vision Foundation Models in Digital Pathology
Paper • 2503.18709 • Published • 1 -
Reliable and Responsible Foundation Models: A Comprehensive Survey
Paper • 2602.08145 • Published • 8