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PathML is a general-purpose toolkit for computational pathology that enables scalable, standardized analysis of large digital pathology images to derive AI-ready insights for cancer research and clinical care. It provides a framework, documentation, and ready-to-run examples, with multiple installation options (Docker, Micromamba/conda, PyPI, or from source) to lower the barrier to entry. The design emphasizes scalability, standardization, and ease of use, including GPU-accelerated analyses for model training and diverse use cases.
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