… White Matter Hyper intensities (WMH) are minor cerebral vascular diseases typically found
in older people and are visible in FLuid Attenuated Inversion Recovery (FLAIR) sequence of …

… In this study, we propose a deep learning model to predict the evolution of WMH from baseline
… Probability map (PM) in the present study refers to the WMH segmentation output from a …

… learning models for WMHs segmentation in two different datasets. … the robustness of two
deep learning approaches, which are … conventional machine learning: Pilot study of wmh …

… in the brain that bypass normal brain tissue; … WMH segmentation methods developed from
2015 to July 2020 showed no evidence to favor deep learning methods in clinical research …

… WMH maps was returned to each participating center where they were asked to check whether
the registered WMH map properly represented the WMH segmentation … or normal aging. …

… Measurement data with a normal distribution are reported as means ± standard deviations,
… method and established an image segmentation recognition model that automatically …

… We validated the most promising approaches on a brain image segmentation … training we
inserted zeroes in 3D FLAIR images in the areas where the ground truth WMH segmentation …

… non-brain matter and refining WMH segmentation. Images … the impact of cerebral blood flow
perfusion on WMH is crucial… Finally, we used deep learning software and machine learning …

… lesion-based segmentation tasks such as WMH segmentation (… appear hyperintense overlaid
on the brain parenchyma, can … To pilot our methodology, we compared four models trained …

… segmentation of their existing WMH by an expert neuroradiologist and neuroscientist. The
pilot study … of artificial intelligence and deep learning paradigms in research and their role in …