Detection of trachoma using machine learning approaches

Damien Socia, Christopher J. Brady, Sheila K. West, R. Chase Cockrell

Open source

DOI: 10.1371/journal.pntd.0010943
Published: 2022-12-07
Container: PLOS Neglected Tropical Diseases
Publisher: Public Library of Science (PLoS)
Open access: unknown

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Cite this work

BibTeX

@article{allodium:10.1371/journal.pntd.0010943,
  title = {Detection of trachoma using machine learning approaches},
  author = {Damien Socia and Christopher J. Brady and Sheila K. West and R. Chase Cockrell},
  year = {2022},
  journal = {PLOS Neglected Tropical Diseases},
  doi = {10.1371/journal.pntd.0010943},
  url = {https://doi.org/10.1371/journal.pntd.0010943}
}

RIS

TY  - JOUR
TI  - Detection of trachoma using machine learning approaches
AU  - Damien Socia
AU  - Christopher J. Brady
AU  - Sheila K. West
AU  - R. Chase Cockrell
PY  - 2022
JO  - PLOS Neglected Tropical Diseases
DO  - 10.1371/journal.pntd.0010943
UR  - https://doi.org/10.1371/journal.pntd.0010943
ER  -

APA

Socia, D., Brady, C. J., West, S. K., & Cockrell, R. C. (2022). Detection of trachoma using machine learning approaches. PLOS Neglected Tropical Diseases. https://doi.org/10.1371/journal.pntd.0010943

Source records

crossref · retrieved 2026-09-25T07:00:38.300Z