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SHIVA-CMB: A Deep-Learning-based Robust Cerebral Microbleed Segmentation Tool Trained on Multi-Source T2*GRE- and Susceptibility- weighted MRI

2024-08-28

Abstract excerpt

<title>Abstract</title> <p>Cerebral microbleeds (CMB) represent a feature of cerebral small vessel disease (cSVD), a prominent vascular contributor to age-related cognitive decline, dementia, and stroke. They are visible as spherical hypointense signals on T2*- or susceptibility-weighted magnetic resonance imaging (MRI) sequences. An increasing number of automated CMB detection methods being proposed are based on...

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Literature Corpus work
ac83aae1-76fe-516c-b84b-f149aff34e04
DOI
10.21203/rs.3.rs-4802009/v1
Open publication

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SHIVA-CMB: A Deep-Learning-based Robust Cerebral Microbleed Segmentation Tool Trained on Multi-Source T2*GRE- and Susceptibility- weighted MRIDOI 10.21203/rs.3.rs-4802009/v1
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