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Eline Bragedatter Seljeflot on Muck Rack

Eline Bragedatter Seljeflot

As seen in: Nature
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Articles

Deep learning for automatic segmentation of the gestational sac and yolk sac from 3D ultrasound in early pregnancy

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By Ragnhild Holden Helland, Birgitte Kahrs, Andreas Østvik, Eline Bragedatter Seljeflot
| Nature Verified
Abstract The current standard manual measurements from 2D ultrasound in the early weeks of pregnancy are operator-dependent and subject to inter- and intra-rater variability, particularly for the non-spherical gestational sac. This leads to diagnostic uncertainty, prolonged follow-up and patient anxiety. Several studies have proposed models for automatic standard plane selection and segmentation of the gestational sac from 2D ultrasound.
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