Deep Learning-based Automated Segmentation of Ultra-Widefield Retinal Vasculature for Cardiometabolic Disease Association Analysis.
- DOI
- 10.1109/jbhi.2026.3720335
- Published
- 2026 Aug 5
- Container
- IEEE journal of biomedical and health informatics
- Publisher
- Not recorded
- Open access
- no
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Cite this work
BibTeX
@article{allodium:10.1109/jbhi.2026.3720335,
title = {Deep Learning-based Automated Segmentation of Ultra-Widefield Retinal Vasculature for Cardiometabolic Disease Association Analysis.},
author = {Wang X and Yang X and Wang Y and Sun Z and Jin Q and Peng Y and Feng L},
year = {2026},
journal = {IEEE journal of biomedical and health informatics},
doi = {10.1109/jbhi.2026.3720335},
url = {https://doi.org/10.1109/jbhi.2026.3720335}
}RIS
TY - JOUR TI - Deep Learning-based Automated Segmentation of Ultra-Widefield Retinal Vasculature for Cardiometabolic Disease Association Analysis. AU - Wang X AU - Yang X AU - Wang Y AU - Sun Z AU - Jin Q AU - Peng Y AU - Feng L PY - 2026 JO - IEEE journal of biomedical and health informatics DO - 10.1109/jbhi.2026.3720335 UR - https://doi.org/10.1109/jbhi.2026.3720335 ER -
APA
X, W., X, Y., Y, W., Z, S., Q, J., Y, P., & L, F. (2026). Deep Learning-based Automated Segmentation of Ultra-Widefield Retinal Vasculature for Cardiometabolic Disease Association Analysis.. IEEE journal of biomedical and health informatics. https://doi.org/10.1109/jbhi.2026.3720335
Source records
- pubmed · retrieved 2026-09-25T15:25:08.971Z
- europe-pmc · retrieved 2026-09-25T15:25:08.994Z