Our goal is to advance pathology practice and discovery through development and validation of machine learning methods and software.
Semantic segmentation of triple-negative breast cancer.
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Interpretation of deep learning survival model.
An improved model for nuclear segmentation and classification.
NuCLS annotations (bottom) and predictions (top).
Predicted gestational age on placenta whole-slide image.
Differential cell count of bone marrow aspirate smear.
