GigaPath: Foundation Model for Digital Pathology
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10.10.22 – 78157:55Опубликовано 11 марта 2024, 19:08
Microsoft Research Forum | Episode 2 | March 5, 2024
Naoto Usuyama proposed GigaPath, a novel approach for training large vision transformers for gigapixel pathology images, utilizing a diverse real-world cancer patient dataset, with the goal of laying a foundation for cancer pathology AI.
See more at aka.ms/ResearchForum-Mar2024
Naoto Usuyama proposed GigaPath, a novel approach for training large vision transformers for gigapixel pathology images, utilizing a diverse real-world cancer patient dataset, with the goal of laying a foundation for cancer pathology AI.
See more at aka.ms/ResearchForum-Mar2024
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