2024
DOI: 10.21203/rs.3.rs-4802009/v1
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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

Ami Tsuchida,
Martin Goubet,
Philippe Boutinaud
et al.

Abstract: 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 supervised deep learning (DL). Yet, the lack of open sharing of pre-trained models hampers the practical application and eval… Show more

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