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CONCH is a vision-language foundation model for histopathology that enables multimodal AI workflows by combining tissue images with captions. It is pretrained on a large histopathology-specific dataset (1.17 million image-caption pairs) and achieves state-of-the-art results across tasks such as image classification, captioning, retrieval, and tissue segmentation, including non-H&E stains. Access and use are gated under CC-BY-NC-ND-4.0, with non-commercial academic use only; downloading requires registration and institutional email, and commercial use or redistribution requires prior approval.
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