Combining structural and microvascular parameters via machine learning for enhanced diagnosis of normal-tension glaucoma among highly myopic eyes: a prospective cross-sectional diagnostic accuracy study.

He CZ, Qiu Q, Lai H, Lai CY, He Y, Jing L

Open source

DOI
10.1186/s12886-026-05065-4
Published
2026 Jun 26
Container
BMC ophthalmology
Publisher
Not recorded
Open access
yes

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BibTeX

@article{allodium:10.1186/s12886-026-05065-4,
  title = {Combining structural and microvascular parameters via machine learning for enhanced diagnosis of normal-tension glaucoma among highly myopic eyes: a prospective cross-sectional diagnostic accuracy study.},
  author = {He CZ and Qiu Q and Lai H and Lai CY and He Y and Jing L},
  year = {2026},
  journal = {BMC ophthalmology},
  doi = {10.1186/s12886-026-05065-4},
  url = {https://doi.org/10.1186/s12886-026-05065-4}
}

RIS

TY  - JOUR
TI  - Combining structural and microvascular parameters via machine learning for enhanced diagnosis of normal-tension glaucoma among highly myopic eyes: a prospective cross-sectional diagnostic accuracy study.
AU  - He CZ
AU  - Qiu Q
AU  - Lai H
AU  - Lai CY
AU  - He Y
AU  - Jing L
PY  - 2026
JO  - BMC ophthalmology
DO  - 10.1186/s12886-026-05065-4
UR  - https://doi.org/10.1186/s12886-026-05065-4
ER  - 

APA

CZ, H., Q, Q., H, L., CY, L., Y, H., & L, J. (2026). Combining structural and microvascular parameters via machine learning for enhanced diagnosis of normal-tension glaucoma among highly myopic eyes: a prospective cross-sectional diagnostic accuracy study.. BMC ophthalmology. https://doi.org/10.1186/s12886-026-05065-4

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