Self-supervised ultrasound to MRI fetal brain image synthesis
Fetal brain magnetic resonance imaging (MRI) offers exquisite images of the developing brain but is not suitable for second-trimester anomaly screening, for which ultrasound (US) is employed. Although expert sonographers are adept at reading US images, MR images which closely resemble anatomical ima...
Main Authors: | Jiao, J, Namburete, AIL, Papageorghiou, AT, Noble, JA |
---|---|
格式: | Journal article |
語言: | English |
出版: |
IEEE
2020
|
相似書籍
-
Anatomy-aware self-supervised fetal MRI synthesis from unpaired ultrasound images
由: Jiao, J, et al.
出版: (2019) -
Multi-task CNN for structural semantic segmentation in 3D fetal brain ultrasound
由: Venturini, L, et al.
出版: (2020) -
Uncertainty estimates as data selection criteria to boost omni-supervised learning
由: Venturini, L, et al.
出版: (2020) -
Automated fetal brain extraction from clinical ultrasound volumes using 3D convolutional neural networks
由: Moser, F, et al.
出版: (2020) -
Learning-based prediction of gestational age from ultrasound images of the fetal brain
由: Namburete, A, et al.
出版: (2015)