Deep learning-based algorithm for the detection of idiopathic full thickness macular holes in spectral domain optical coherence tomography
- DOI
- 10.1186/s40942-024-00526-8
- Published
- 2024-01-23
- Container
- International Journal of Retina and Vitreous
- Publisher
- Springer Science and Business Media LLC
- Open access
- unknown
Credibility signals
uncertain Score 64/100 under policy 1.0.0. This is a metadata assessment, not a judgment of the paper's conclusions.
Show all credibility signals
- supportingDOI registered: A matching record was returned by Crossref.
- supportingDOI resolves: A matching record was returned by Crossref.
- not scoredDirectory of Open Access Journals: No matching DOAJ record was present in this response. No allow-list match; this is not evidence of low credibility.
- not scoredMEDLINE indexed: Not checked or no result supplied; no credibility inference made.
- not scoredOpenAlex core source: Not checked or no result supplied; no credibility inference made.
- not scoredKnown publisher allow-list: Not checked or no result supplied; no credibility inference made.
- not scoredROR affiliation: Not checked or no result supplied; no credibility inference made.
- not scoredRetraction Watch retraction: No retraction notice matched this DOI in the deployed snapshot. No matching event found; coverage may be incomplete.
- not scoredRetraction Watch expression of concern: No expression of concern notice matched this DOI in the deployed snapshot. No matching event found; coverage may be incomplete.
- not scoredRetraction Watch correction: No correction notice matched this DOI in the deployed snapshot. No matching event found; coverage may be incomplete.
- not scoredRetraction Watch reinstatement: No reinstatement notice matched this DOI in the deployed snapshot. No matching event found; coverage may be incomplete.
- not scoredOpen access status: Not checked or no result supplied; no credibility inference made.
- not scoredPublication license: Not checked or no result supplied; no credibility inference made.
- not scoredPublication version: A publication version was supplied but is not scored.
- supportingMetadata completeness: All 6 scored descriptive metadata groups are present.
Cite this work
BibTeX
@article{allodium:10.1186/s40942-024-00526-8,
title = {Deep learning-based algorithm for the detection of idiopathic full thickness macular holes in spectral domain optical coherence tomography},
author = {Carolina C. S. Valentim and Anna K. Wu and Sophia Yu and Niranchana Manivannan and Qinqin Zhang and Jessica Cao and Weilin Song and Victoria Wang and Hannah Kang and Aneesha Kalur and Amogh I. Iyer and Thais Conti and Rishi P. Singh and Katherine E. Talcott},
year = {2024},
journal = {International Journal of Retina and Vitreous},
doi = {10.1186/s40942-024-00526-8},
url = {https://doi.org/10.1186/s40942-024-00526-8}
}RIS
TY - JOUR TI - Deep learning-based algorithm for the detection of idiopathic full thickness macular holes in spectral domain optical coherence tomography AU - Carolina C. S. Valentim AU - Anna K. Wu AU - Sophia Yu AU - Niranchana Manivannan AU - Qinqin Zhang AU - Jessica Cao AU - Weilin Song AU - Victoria Wang AU - Hannah Kang AU - Aneesha Kalur AU - Amogh I. Iyer AU - Thais Conti AU - Rishi P. Singh AU - Katherine E. Talcott PY - 2024 JO - International Journal of Retina and Vitreous DO - 10.1186/s40942-024-00526-8 UR - https://doi.org/10.1186/s40942-024-00526-8 ER -
APA
Valentim, C. C. S., Wu, A. K., Yu, S., Manivannan, N., Zhang, Q., Cao, J., Song, W., Wang, V., Kang, H., Kalur, A., Iyer, A. I., Conti, T., Singh, R. P., & Talcott, K. E. (2024). Deep learning-based algorithm for the detection of idiopathic full thickness macular holes in spectral domain optical coherence tomography. International Journal of Retina and Vitreous. https://doi.org/10.1186/s40942-024-00526-8
Source records
- crossref · retrieved 2026-09-26T17:35:01.376Z