Prov-GigaPath is an open-source whole-slide foundation model developed for digital pathology. It processes real-world gigapixel pathology slides using a tile encoder and slide encoder architecture. The model supports inference, fine-tuning, and linear probing tasks and is distributed via Hugging Face with Apache 2.0 licensing.
Prov Gigapath is an Other AI project. It focuses on training and deploying high-performance foundation models for computational pathology on gigapixel whole-slide images. It is built as an open-source project for AI researchers and pathologists. Prov Gigapath is open source under the Apache-2.0 license. It ships for the web, the command line, and API.
It is developed by Prov-GigaPath, and it first shipped in 2024. The project is developed in the open on GitHub with 624 stars and 1 commit in the last 90 days. Key capabilities include tile encoder, slide encoder, and fine-tuning support.
Summary written by a language model from the project’s public pages.
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