Article

Diagnostic Accuracy and External Validation of Self-Supervised Learning for Cerebral Micro-Bleed Detection: A Multi-Sequence MRI Trial Using Public Datasets

2026-04-23

Abstract excerpt

<title>Abstract</title> <p>Purpose Cerebral microbleeds (CMBs) are critical imaging biomarkers for small vessel disease, but detection remains challenging due to small lesion size, variable MRI appearance, and annotation burden. This study developed a self-supervised learning (SSL) framework for robust CMB detection across multi-sequence MRI that generalizes to heterogeneous protocols while reducing dependence o...

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Literature Corpus work: ea2aaed9-ac63-5ca2-801c-b6452b403864
DOI: 10.21203/rs.3.rs-9496185/v1

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