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A vision transformer foundation model pre-trained on over 200 million pathology images for computational pathology tasks.
A PyTorch-based deep learning model for simultaneous nuclear instance segmentation and classification in histopathology images.
A vision-language foundation model for computational pathology, pretrained on 1.17M histopathology image-caption pairs for diverse AI tasks.
An open-source toolkit for scalable, standardized computational pathology analysis, enabling AI and machine learning on large imaging datasets.
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