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Mapping cell-to-tissue graphs across human placenta histology whole slide images using deep learning with HAPPY

28 Mar 2024

Abstract excerpt

Accurate placenta pathology assessment is essential for managing maternal and newborn health, but the placenta's heterogeneity and temporal variability pose challenges for histology analysis. To address this issue, we developed the 'Histology Analysis Pipeline.PY' (HAPPY), a deep learning hierarchical method for quantifying the variability of cells and micro-anatomical tissue structures across placenta histology...

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PMID: 38548713
DOI: 10.1038/s41467-024-46986-2

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