{"slug": "braided-vision-transformer-for-stroke-detection-in-multi-view-retinal-fundus", "title": "Braided Vision Transformer for Stroke Detection in Multi-view Retinal Fundus Imaging", "summary": "Researchers introduced the Braided Vision Transformer (BViT), the first vision transformer model for stroke detection using retinal fundus imaging, achieving an AUC score of 0.75 on their Stroke-Data dataset, outperforming regular vision transformers. The model analyzes macula-centric and optic nerve head-centric views from both eyes to capture inter-view relationships, offering a non-invasive, cost-effective screening alternative.", "body_md": "arXiv:2608.14722v1 Announce Type: new\nAbstract: Stroke remains a leading cause of mortality and morbidity worldwide, emphasizing the importance of its accurate and immediate assessment. Retinal fundus imaging has emerged as a promising modality for stroke assessment, as the retina reflects cerebrovascular and neurological risk factors. Contrary to conventional neuroimaging techniques, retinal fundus imaging offers a non-invasive, cost-effective, and portable alternative for rapid screening. This paper explores the feasibility of retinal fundus imaging for stroke and transient ischemic attack (TIA) detection using macula-centric and optic nerve head-centric views captured from both eyes. Our study introduces, to the best of our knowledge, the first vision transformer model for retinal fundus imaging in stroke assessment, offering a novel approach for capturing retinal patterns. Thereby, we propose the Braided Vision Transformer (BViT) model, which extracts representative features from the given multi-view images while simultaneously capturing inter-view relationships across both eyes, enabling a more informative understanding of retinal biomarkers associated with cerebrovascular events. Experiments conducted on our collected Stroke-Data dataset demonstrate that BViT achieves an AUC score of 0.75 for stroke detection, outperforming regular vision transformers.", "url": "https://wpnews.pro/news/braided-vision-transformer-for-stroke-detection-in-multi-view-retinal-fundus", "canonical_source": "https://arxiv.org/abs/2608.14722", "published_at": "2026-08-18 04:00:00+00:00", "updated_at": "2026-08-18 04:11:51.996979+00:00", "lang": "en", "topics": ["artificial-intelligence", "machine-learning", "computer-vision"], "entities": ["Braided Vision Transformer", "BViT", "Stroke-Data dataset"], "also_reported_by": [], "alternates": {"html": "https://wpnews.pro/news/braided-vision-transformer-for-stroke-detection-in-multi-view-retinal-fundus", "markdown": "https://wpnews.pro/news/braided-vision-transformer-for-stroke-detection-in-multi-view-retinal-fundus.md", "text": "https://wpnews.pro/news/braided-vision-transformer-for-stroke-detection-in-multi-view-retinal-fundus.txt", "jsonld": "https://wpnews.pro/news/braided-vision-transformer-for-stroke-detection-in-multi-view-retinal-fundus.jsonld"}}