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Deep Bayesian networks for uncertainty estimation and adversarial resistance of white matter hyperintensity segmentation

2021-08-19

Abstract excerpt

White matter hyperintensities (WMH) are frequently observed on structural neuroimaging of elderly populations and are associated with cognitive decline and increased risk of dementia. Many existing WMH segmentation algorithms produce suboptimal results in populations with vascular lesions or brain atrophy, or require parameter tuning and are computationally expensive. Additionally, most algorithms do not generate...

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Literature Corpus work
2da5cc26-42b1-5e0c-86b2-0a8b8903081d
DOI
10.1101/2021.08.18.456666
Open publication

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Deep Bayesian networks for uncertainty estimation and adversarial resistance of white matter hyperintensity segmentationDOI 10.1101/2021.08.18.456666
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