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Segmenting white matter hyperintensities on isotropic three-dimensional Fluid Attenuated Inversion Recovery magnetic resonance images: A comparison of Deep learning tools on a Norwegian national imaging database. (arXiv:2207.08467v4 [eess.IV] UPDATED
cs.CV updates on arXiv.org arxiv.org
Automated segmentation of white matter hyperintensities (WMHs) is an
essential step in neuroimaging analysis of Magnetic Resonance Imaging (MRI).
Fluid Attenuated Inversion Recovery (FLAIR-weighted) is an MRI contrast that is
particularly useful to visualize and quantify WMHs, a hallmark of cerebral
small vessel disease and Alzheimer's disease (AD). Clinical MRI protocols
migrate to a three-dimensional (3D) FLAIR-weighted acquisition to enable high
spatial resolution in all three voxel dimensions. The current study details the
deployment of deep learning tools to enable …
arxiv comparison database deep learning images imaging learning recovery tools