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segcsvd<sub>PVS</sub>: A convolutional neural network-based tool for quantification of enlarged perivascular spaces (PVS) on T1-weighted images

2025-07-29

Abstract excerpt

<h4>Introduction</h4> Enlarged perivascular spaces (PVS) are imaging markers of cerebral small vessel disease (CSVD) that are associated with age, disease phenotypes, and overall health. Quantification of PVS is challenging but necessary to expand an understanding of their role in cerebrovascular pathology. Accurate and automated segmentation of PVS on T1-weighted images would be valuable given the widespread use...

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Literature Corpus work
dadf06e0-3a0e-5ab8-be0d-a74734736b28
DOI
10.1101/2025.07.29.25332360
Open publication

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segcsvd<sub>PVS</sub>: A convolutional neural network-based tool for quantification of enlarged perivascular spaces (PVS) on T1-weighted imagesDOI 10.1101/2025.07.29.25332360
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