Automated 3D Fetal Brain Segmentation Using an Optimized Deep Learning Approach.

Li Zhao J D Asis-Cruz Xue Feng Y Wu Kushal Kapse Axel LargentJ QuistorffC A Lopez Dan Wu Kun Qing Craig H Meyer Catherine Limperopoulos

Published in: AJNR. American journal of neuroradiology (2022)

The proposed deep learning method provides an efficient and reliable approach for fetal brain segmentation, which outperformed segmentation based on a 4D atlas and has been used in clinical and research settings.

Keyphrases

deep learning
convolutional neural network
artificial intelligence
resting state
white matter
machine learning
functional connectivity
cerebral ischemia
single cell
multiple sclerosis
high throughput
blood brain barrier