Robust regression of brain maturation from 3D fetal neurosonography using CRNs
We propose a fully three-dimensional Convolutional Regression Network (CRN) for the task of predicting fetal brain maturation from 3D ultrasound (US) data. Anatomical development is modelled as the sonographic patterns visible in the brain at a given gestational age, which are aggregated by the mode...
| Автори: | , , |
|---|---|
| Формат: | Conference item |
| Опубліковано: |
Springer, Cham
2017
|