Ethnicity-Stratified Normative Retinal Vascular Features from the UK Biobank Using Deep Learning
Ranjit J. Injety, Callum Hunt, Ha-Jun Yoon, Martin D. Tobin, Chiara Batini, Thompson G. Robinson, Kamlesh Khunti, Pearse A. Keane, Robert C. Free, Jatinder S. Minhas, Mervyn G. Thomas · 2026
Read Ethnicity-Stratified Normative Retinal Vascular Features from the UK Biobank Using Deep Learning by Ranjit J. Injety, Callum Hunt, Ha-Jun Yoon, Martin D. Tobin, Chiara Batini, Thompson G. Robinson, Kamlesh Khunti, Pearse A. Keane, Robert C. Free, Jatinder S. Minhas, Mervyn G. Thomas (2026) in the Tower of Babel, a free online library of public-domain works preserved in clean, searchable text. No sign-up. The full text is served as a plain-text file at a predictable URL, where text is present: https://antarctic-labs.com/tower-of-babel/pmc-13260094.txt.
Description
Ranjit Injety and co-authors build the first reference tables for the eye's blood vessels, split by ethnic group. The retina's vessels mirror the health of vessels body-wide, and deep learning tools can now measure them at scale. The team ran one such tool over eye images from 6,843 healthy UK Biobank volunteers and recorded vessel width, density, branching complexity, and twistiness.
With age, the vessels grew simpler: complexity, density, and twist all fell, and the main artery and vein widths shrank. Chinese participants showed higher vessel density and complexity than White participants, and ethnic group, then sex, shaped the measures more than anything else. The authors offer the tables as a baseline for eye-based health markers in mixed populations, useful for fairer risk checks.
Catalog record
| CREATOR | Ranjit J. Injety, Callum Hunt, Ha-Jun Yoon, Martin D. Tobin, Chiara Batini, Thompson G. Robinson, Kamlesh Khunti, Pearse A. Keane, Robert C. Free, Jatinder S. Minhas, Mervyn G. Thomas |
|---|---|
| YEAR | 2026 |
| COLLECTION | PAPERS |
| FORMAT | TXT |
| FILE SIZE | 27 KB |
| VERSION | 1.0 |
| LICENSE | CC BY 4.0 |
| RIGHTS | CC BY |
| SOURCE | Europe PMC |