Volumetric subfield analysis of cynomolgus monkey's choroid derived from hybrid machine learning optical coherence tomography segmentation.

Maloca PM, Valmaggia P, Hartmann T, Juedes M, Hasler PW, Scholl HPN, Denk N.

Open source

DOI: 10.1371/journal.pone.0275050
Published: 2022-09-23
Container: PLoS One
Publisher: Not recorded
Open access: yes

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Cite this work

BibTeX

@article{allodium:10.1371/journal.pone.0275050,
  title = {Volumetric subfield analysis of cynomolgus monkey's choroid derived from hybrid machine learning optical coherence tomography segmentation.},
  author = {Maloca PM and  Valmaggia P and  Hartmann T and  Juedes M and  Hasler PW and  Scholl HPN and  Denk N.},
  year = {2022},
  journal = {PLoS One},
  doi = {10.1371/journal.pone.0275050},
  url = {https://doi.org/10.1371/journal.pone.0275050}
}

RIS

TY  - JOUR
TI  - Volumetric subfield analysis of cynomolgus monkey's choroid derived from hybrid machine learning optical coherence tomography segmentation.
AU  - Maloca PM
AU  -  Valmaggia P
AU  -  Hartmann T
AU  -  Juedes M
AU  -  Hasler PW
AU  -  Scholl HPN
AU  -  Denk N.
PY  - 2022
JO  - PLoS One
DO  - 10.1371/journal.pone.0275050
UR  - https://doi.org/10.1371/journal.pone.0275050
ER  -

APA

PM, M., P, V., T, H., M, J., PW, H., HPN, S., & N., D. (2022). Volumetric subfield analysis of cynomolgus monkey's choroid derived from hybrid machine learning optical coherence tomography segmentation.. PLoS One. https://doi.org/10.1371/journal.pone.0275050

Source records

europe-pmc · retrieved 2026-09-25T02:43:04.255Z
doaj · retrieved 2026-09-25T02:43:04.237Z