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

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

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 hierarchic...

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Bibliographic Details
Main Authors:	Vanea, C, Džigurski, J, Rukins, V, Dodi, O, Siigur, S, Salumäe, L, Meir, K, Parks, WT, Hochner-Celnikier, D, Fraser, A, Hochner, H, Laisk, T, Ernst, LM, Lindgren, CM, Nellåker, C
Format:	Journal article
Language:	English
Published:	Springer Nature 2024

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