Automatic brain tissue segmentation in fetal MRI using convolutional neural networks
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 artifacts including intensity inhomogeneity, caused in particular by …
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 artifacts including intensity inhomogeneity, caused in particular by …