Biologically Inspired Digital Histology for Deep Phenotyping of Placental Composition Changes Across Major Lesion Types.

ABSTRACT: Placenta pathology provides diagnostic insights for understanding pregnancy complications and guides maternal and perinatal care. While placental abnormalities reflect both acute and chronic maternal-fetal health states, the organ's spatial and temporal heterogeneity poses significant challenges for systematic histological analysis. To date, there has been no analysis of cell populations and their relationship to placental lesions due to the scale of annotations required by expert pathologists. The Histology Analysis Pipeline.PY (HAPPY), previously published by our group, is a hierarchical deep learning approach for quantitative single-cell resolution analysis of H&E slides. Here we apply HAPPY to analyse 130 slides from 62 live full-term pregnancies across healthy controls and four common

SUBMITTER: Walker EC 

PROVIDER: S-EPMC12776174 | biostudies-literature | 2025 Dec

REPOSITORIES: biostudies-literature