A computer vision-based approach for automatically extracting data from bar chart raster images to facilitate meta-analysis of biomedical literature
- DOI
- 10.1371/journal.pone.0347081
- Published
- 2026-07-31
- 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.0347081,
title = {A computer vision-based approach for automatically extracting data from bar chart raster images to facilitate meta-analysis of biomedical literature},
author = {Alexander Cardaras and Seungjun Kim and Ye Yuan and Itamar Livnat and Ryan T. Yanagihara and Rosita Saul and Gabrielle Montes De Oca and Kai Zheng and Andrew W. Browne},
year = {2026},
journal = {PLOS One},
doi = {10.1371/journal.pone.0347081},
url = {https://doi.org/10.1371/journal.pone.0347081}
}RIS
TY - JOUR TI - A computer vision-based approach for automatically extracting data from bar chart raster images to facilitate meta-analysis of biomedical literature AU - Alexander Cardaras AU - Seungjun Kim AU - Ye Yuan AU - Itamar Livnat AU - Ryan T. Yanagihara AU - Rosita Saul AU - Gabrielle Montes De Oca AU - Kai Zheng AU - Andrew W. Browne PY - 2026 JO - PLOS One DO - 10.1371/journal.pone.0347081 UR - https://doi.org/10.1371/journal.pone.0347081 ER -
APA
Cardaras, A., Kim, S., Yuan, Y., Livnat, I., Yanagihara, R. T., Saul, R., Oca, G. M. D., Zheng, K., & Browne, A. W. (2026). A computer vision-based approach for automatically extracting data from bar chart raster images to facilitate meta-analysis of biomedical literature. PLOS One. https://doi.org/10.1371/journal.pone.0347081
Source records
- crossref · retrieved 2026-09-25T11:48:18.931Z