Subcortical segmentation of the fetal brain in 3D ultrasound using deep learning

Author:

Hesse Linde S.ORCID,Aliasi MoskaORCID,Moser FelipeORCID,Haak Monique C.,Xie Weidi,Jenkinson Mark,Namburete Ana I.L.

Publisher

Elsevier BV

Subject

Cognitive Neuroscience,Neurology

Reference53 articles.

1. Deep learning for brain MRI segmentation: state of the art and future directions;Akkus;J. Digit. Imag.,2017

2. Ifss-net: interactive few-shot siamese network for faster muscle segmentation and propagation in volumetric ultrasound;Al Chanti;IEEE Trans. Med. Imag.,2021

3. Complex trajectories of brain development in the healthy human fetus;Andescavage;Cerebral Cortex,2017

4. 3D evaluation of fetal brain structures: reference values and growth curves;Babucci;J. Maternal-Fetal Neonat. Med.,2019

5. Three-dimensional sonographic calculation of the volume of intracranial structures in growth-restricted and appropriate-for-gestational age fetuses;Benavides-Serralde;Ultrasound Obstetric. Gynecol.: Off. J. Int. Soc. Ultrasound Obstetric. Gynecol.,2009

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