Automatic brain tissue segmentation in fetal MRI using convolutional neural networks
Abstract
MR images of fetuses allow clinicians to detect brain abnormalities in an early stage of development. The cornerstone of volumetric and morphologic analysis in fetal MRI is segmentation of the fetal brain into different tissue classes. Manual segmentation is cumbersome and time consuming, hence automatic segmentation could substantially simplify the procedure. However, automatic brain tissue segmentation in these scans is challenging owing to...
Paper Details
Title
Automatic brain tissue segmentation in fetal MRI using convolutional neural networks
Published Date
Dec 1, 2019
Journal
Volume
64
Pages
77 - 89
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