Robustness of Probabilistic U-Net for Automated Segmentation of White Matter Hyperintensities in Different Datasets of Brain MRI

2021 International Conference on Advanced Computer Science and Information Systems (ICACSIS)(2021)

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摘要
White Matter Hyperintensities (WMHs) are neu-roradiological features often seen in T2-FLAIR brain MRI as white regions (i.e., hyperintensities) and characteristic of small vessel disease (SVD). Detailed measurements of WMHs (e.g., their volumes, locations, distributions) are vital for clinical research, but segmenting WMHs is challenging due to WMHs' ill-posed boundaries. In this study, we investi...
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关键词
Deep learning,Uncertainty,Magnetic resonance imaging,Computational modeling,Volume measurement,Probabilistic logic,Brain modeling
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