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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… Click to show full 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 be utilized to fully automate the examination of alterations in the placenta caused by hyperglycemia.
Keywords:
model application;
gestational diabetes;
placental features;
quantitatively evaluate;
application quantitatively
Journal Title: Journal of Clinical Ultrasound
Year Published: 2022
Link to full text (if available)
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Journal Title: Journal of Clinical Ultrasound
Year Published: 2022
Link to full text (if available)
Share on Social Media: Sign Up to like & get
recommendations!