Diagnostic accuracy of image-based deep learning for glaucomatous optic neuropathy detection: a systematic review and meta-analysis

Minxian Liang, Jian Lu, Cheng Qin

Open source

DOI
10.1007/s00417-026-07433-8
Published
2026-07-31
Container
Graefe's Archive for Clinical and Experimental Ophthalmology
Publisher
Springer Science and Business Media LLC
Open access
unknown

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BibTeX

@article{allodium:10.1007/s00417-026-07433-8,
  title = {Diagnostic accuracy of image-based deep learning for glaucomatous optic neuropathy detection: a systematic review and meta-analysis},
  author = {Minxian Liang and Jian Lu and Cheng Qin},
  year = {2026},
  journal = {Graefe's Archive for Clinical and Experimental Ophthalmology},
  doi = {10.1007/s00417-026-07433-8},
  url = {https://doi.org/10.1007/s00417-026-07433-8}
}

RIS

TY  - JOUR
TI  - Diagnostic accuracy of image-based deep learning for glaucomatous optic neuropathy detection: a systematic review and meta-analysis
AU  - Minxian Liang
AU  - Jian Lu
AU  - Cheng Qin
PY  - 2026
JO  - Graefe's Archive for Clinical and Experimental Ophthalmology
DO  - 10.1007/s00417-026-07433-8
UR  - https://doi.org/10.1007/s00417-026-07433-8
ER  - 

APA

Liang, M., Lu, J., & Qin, C. (2026). Diagnostic accuracy of image-based deep learning for glaucomatous optic neuropathy detection: a systematic review and meta-analysis. Graefe's Archive for Clinical and Experimental Ophthalmology. https://doi.org/10.1007/s00417-026-07433-8

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