Model application to quantitatively evaluate placental features from ultrasound images with gestational diabetes
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DOI: 10.1002/jcu.23233
Abstract: The goal of this study was to introduce PFCnet (placental features classification network), an multimodel model for evaluating and classifying placental features in gestational diabetes mellitus (GDM) and normal late pregnancy. Deep learning algorithms could… read more here.
Keywords: model application; gestational diabetes; placental features; quantitatively evaluate ... See more keywords