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

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Title: Attention-enhanced segmentation network for automated cerebral microbleed detection and burden assessment.
Authors: Cho KH; Department of Artificial Intelligence, Hanyang University, Seoul, Republic of Korea., Jeon J; Department of Neurology, Hanyang University College of Medicine, Seoul, Republic of Korea., Kim S; Department of Electronic Engineering, Hanyang University, Seoul, Republic of Korea., Kim YS; Department of Neurology, Hanyang University College of Medicine, Seoul, Republic of Korea., Kim YM; Department of Preventive Medicine, Hanyang University College of Medicine, Seoul, Republic of Korea., Kim MK; Department of Preventive Medicine, Hanyang University College of Medicine, Seoul, Republic of Korea., Shin MH; Department of Preventive Medicine, Chonnam National University Medical School, Gwangju, Republic of Korea., Chung I; Department of Occupational and Environmental Medicine, Keimyung University School of Medicine, Daegu, Republic of Korea., Koh SB; Department of Preventive Medicine and Institute of Occupational Medicine, Yonsei Wonju College of Medicine, Wonju, Republic of Korea., Kim HC; Department of Preventive Medicine, Yonsei University College of Medicine, Seoul, Republic of Korea., Park CJ; Department of Radiology, Research Institute of Radiological Science, Yongin Severance Hospital, Yonsei University Health System, Yongin, Republic of Korea., Lee JM; Department of Artificial Intelligence, Hanyang University, Seoul, Republic of Korea.; Department of Biomedical Engineering, Hanyang University, Seoul, Republic of Korea.
Source: Frontiers in neuroscience [Front Neurosci] 2026 Mar 04; Vol. 20, pp. 1743039. Date of Electronic Publication: 2026 Mar 04 (Print Publication: 2026).
Publication Type: Journal Article
Journal Info: Publisher: Frontiers Research Foundation Country of Publication: Switzerland NLM ID: 101478481 Publication Model: eCollection Cited Medium: Print ISSN: 1662-4548 (Print) Linking ISSN: 1662453X NLM ISO Abbreviation: Front Neurosci Subsets: PubMed not MEDLINE
Database: MEDLINE Ultimate
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ISSN:1662-4548
DOI:10.3389/fnins.2026.1743039