Volumetric subfield analysis of cynomolgus monkey’s choroid derived from hybrid machine learning optical coherence tomography segmentation
- DOI
- 10.1371/journal.pone.0275050
- Published
- 2022-09-23
- Container
- PLOS ONE
- Publisher
- Public Library of Science (PLoS)
- Open access
- unknown
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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 = {Peter M. Maloca and Philippe Valmaggia and Theresa Hartmann and Marlene Juedes and Pascal W. Hasler and Hendrik P. N. Scholl and Nora Denk},
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 - Peter M. Maloca AU - Philippe Valmaggia AU - Theresa Hartmann AU - Marlene Juedes AU - Pascal W. Hasler AU - Hendrik P. N. Scholl AU - Nora Denk PY - 2022 JO - PLOS ONE DO - 10.1371/journal.pone.0275050 UR - https://doi.org/10.1371/journal.pone.0275050 ER -
APA
Maloca, P. M., Valmaggia, P., Hartmann, T., Juedes, M., Hasler, P. W., Scholl, H. P. N., & Denk, N. (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
- crossref · retrieved 2026-11-10T10:01:10.322Z