Attention-enhanced segmentation network for automated cerebral microbleed detection and burden assessment

RLK-UNet with CBAM provides a robust and interpretable solution for automated CMB detection by directly addressing false-positive propagation through attention-guided skip connections. The framework achieves balanced precision and sensitivity within a single-stage architecture and demonstrates reliable subject-level burden estimation aligned with clinically meaningful ARIA-H categories. These findings support its potential application in vascular risk stratification and treatment monitoring in patients undergoing anti-amyloid therapy.

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Publication Details

Journal
Frontiers in Neuroscience
Published
2026-03-04
DOI
https://doi.org/10.3389/fnins.2026.1743039
Primary Topic
Intracerebral and Subarachnoid Hemorrhage Research
Type
article
Field-Weighted Citation Impact
0.00

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article

Attention-enhanced segmentation network for automated cerebral microbleed detection and burden assessment

K. -H. Cho, Sang Baek Koh, Se Y. Kim, H K Kim et al.
Frontiers in Neuroscience
Intracerebral and Subarachnoid Hemorrhage Research
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Attention-enhanced segmentation network for automated cerebral microbleed detection and burden assessment

K. -H. Cho, Sang Baek Koh, Se Y. Kim, H K Kim, Jonghyun Jeon, Mi Kyung Kim, Jong-Min Lee, Min-Ho Shin, Seonggyu Kim, Insung Chung, Chae Jung Park, Young Seo Kim
article en

Abstract

RLK-UNet with CBAM provides a robust and interpretable solution for automated CMB detection by directly addressing false-positive propagation through attention-guided skip connections. The framework achieves balanced precision and sensitivity within a single-stage architecture and demonstrates reliable subject-level burden estimation aligned with clinically meaningful ARIA-H categories. These findings support its potential application in vascular risk stratification and treatment monitoring in patients undergoing anti-amyloid therapy.

Frontiers in NeuroscienceVol. 20
Yonsei University (KR), Severance Hospital (KR), University Health System (US), Chonnam National University Hospital (KR), Keimyung College University (KR), Yonsei University Health System (KR), Hanyang University (KR), Keimyung University (KR)
Korea Medical Device Development Fund, Hanyang University, Ministry of Trade, Industry and Energy, Ministry of Food and Drug Safety, National IT Industry Promotion Agency, Ministry of Science and ICT, South Korea, Institute for Information and Communications Technology Promotion
Openalex Percentile: Top 41%
Intracerebral and Subarachnoid Hemorrhage Research
DOIOpen Access PDFOpenAlex
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