yuanzhang7/Awesome-Generative-Models-in-Pathology
The official GitHub page for the survey paper "Content Generation Models in Computational Pathology: A Comprehensive Survey on Methods, Applications, and Challenges".
This project is a detailed review and organized list of scientific papers on using AI to generate content in computational pathology. It takes in over 150 research studies on topics like generating synthetic tissue images, clinical reports, and molecular data, and outputs a structured overview and a categorized list of these papers. Pathologists, medical researchers, and AI developers working in healthcare would use this to understand the latest advancements in AI-driven pathology.
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Use this if you are a pathology researcher, clinician, or AI engineer looking for a comprehensive overview and structured reference of generative AI models in computational pathology.
Not ideal if you are looking for ready-to-use software or code to implement generative models, as this is a survey and paper list, not an active development project.
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Oct 09, 2025
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