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Peer-reviewedCC BY-NC-ND 4.0Scientific Reports

Retinal layer thickness prediction from smartphone fundus imaging for early glaucoma detection

  • R. Prashanth
  • C. Rajan
  • K. Geetha
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Cite

BibTeXRIS
BibTeX
@article{prashanth2026retinal,
  title = {{Retinal layer thickness prediction from smartphone fundus imaging for early glaucoma detection}},
  author = {R. Prashanth and C. Rajan and K. Geetha},
  journal = {Scientific Reports},
  year = {2026},
  month = oct,
  doi = {10.1038/s41598-026-74655-5},
  url = {https://www.nature.com/articles/s41598-026-74655-5},
  note = {CC BY-NC-ND 4.0},
}
RIS
TY  - JOUR
TI  - Retinal layer thickness prediction from smartphone fundus imaging for early glaucoma detection
AU  - R. Prashanth
AU  - C. Rajan
AU  - K. Geetha
PY  - 2026
DA  - 2026/10/26
JO  - Scientific Reports
DO  - 10.1038/s41598-026-74655-5
UR  - https://www.nature.com/articles/s41598-026-74655-5
SN  - 2045-2322
ER  -