GestAltNet: aggregation and attention to improve deep learning of gestational age from placental whole-slide images.

ABSTRACT: The placenta is the first organ to form and performs the functions of the lung, gut, kidney, and endocrine systems. Abnormalities in the placenta cause or reflect most abnormalities in gestation and can have life-long consequences for the mother and infant. Placental villi undergo a complex but reproducible sequence of maturation across the third-trimester. Abnormalities of villous maturation are a feature of gestational diabetes and preeclampsia, among others, but there is significant interobserver variability in their diagnosis. Machine learning has emerged as a powerful tool for research in pathology. To capture the volume of data and manage heterogeneity within the placenta, we developed GestaltNet, which emulates human attention to high-yield areas and aggregation across regions. We u

SUBMITTER: Mobadersany P 

PROVIDER: S-EPMC7933605 | biostudies-literature | 2021 Jul

REPOSITORIES: biostudies-literature