Target-label-free artificial intelligence framework for cross-anatomical RNFL biomarker segmentation in optical coherence tomography

Suo Qiu, Juntao Zhang, Na Zhao, Xinxin Hu, Hengqian He, Leilei Yuan, Yaxuan Zhao, Shaodong Ma, Yitian Zhao, Qinkang Lu

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DOI: 10.3389/fcell.2026.1890734
Published: 2026-08-11
Container: Frontiers in Cell and Developmental Biology
Publisher: Frontiers Media SA
Open access: unknown

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Cite this work

BibTeX

@article{allodium:10.3389/fcell.2026.1890734,
  title = {Target-label-free artificial intelligence framework for cross-anatomical RNFL biomarker segmentation in optical coherence tomography},
  author = {Suo Qiu and Juntao Zhang and Na Zhao and Xinxin Hu and Hengqian He and Leilei Yuan and Yaxuan Zhao and Shaodong Ma and Yitian Zhao and Qinkang Lu},
  year = {2026},
  journal = {Frontiers in Cell and Developmental Biology},
  doi = {10.3389/fcell.2026.1890734},
  url = {https://doi.org/10.3389/fcell.2026.1890734}
}

RIS

TY  - JOUR
TI  - Target-label-free artificial intelligence framework for cross-anatomical RNFL biomarker segmentation in optical coherence tomography
AU  - Suo Qiu
AU  - Juntao Zhang
AU  - Na Zhao
AU  - Xinxin Hu
AU  - Hengqian He
AU  - Leilei Yuan
AU  - Yaxuan Zhao
AU  - Shaodong Ma
AU  - Yitian Zhao
AU  - Qinkang Lu
PY  - 2026
JO  - Frontiers in Cell and Developmental Biology
DO  - 10.3389/fcell.2026.1890734
UR  - https://doi.org/10.3389/fcell.2026.1890734
ER  -

APA

Qiu, S., Zhang, J., Zhao, N., Hu, X., He, H., Yuan, L., Zhao, Y., Ma, S., Zhao, Y., & Lu, Q. (2026). Target-label-free artificial intelligence framework for cross-anatomical RNFL biomarker segmentation in optical coherence tomography. Frontiers in Cell and Developmental Biology. https://doi.org/10.3389/fcell.2026.1890734

Source records

crossref · retrieved 2026-11-10T08:51:20.025Z