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Method for training and testing the U-Nets. A, Schematic of 3D U-Net architecture used for training with sample input and output patch is shown. B, Manually segmented images were split into training (n = 36 patients) and test (n = 10 patients) sets. C, After confirmation of adequate segmentation performance on the test set, the trained U-Nets were applied to an additional 200 fetal brain MRIs for calculating normal fetal intracranial and brain volumes across GAs.
