This cross-vendor evaluation demonstrates reliable fetal brain segmentation through deep learning, indicating clinical robustness.
These deep-learning methods can reliably segment (sub)cortical structures when applied to a novel dataset acquired with a different ultrasound vendor, demonstrating robustness. Incorporating visual assessment alongside quantitative metrics provides insight into anatomical accuracy and clinical usability.
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Aliasi et al. (2026) studied this question.
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