Deep Learning for Ocular Disease Recognition: An Inner-Class Balance.
- DOI
- 10.1155/2022/5007111
- Published
- 2022
- Container
- Computational intelligence and neuroscience
- Publisher
- Not recorded
- Open access
- yes
Credibility signals
serious concern Score 10/100 under policy 1.0.0. This is a metadata assessment, not a judgment of the paper's conclusions.
Show all credibility signals
- cautionDOI registered: No matching Crossref record was present in this response.
- cautionDOI resolves: No matching Crossref record was present in this response.
- 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.
- serious concernRetraction Watch retraction: 1 retraction notice matched this DOI.
- 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.
- supportingOpen access status: Normalized open-access status: open.
- 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.
- cautionMetadata completeness: 5 of 6 scored descriptive metadata groups are present; missing fields increase uncertainty.
Cite this work
BibTeX
@article{allodium:10.1155/2022/5007111,
title = {Deep Learning for Ocular Disease Recognition: An Inner-Class Balance.},
author = {Khan MS and Tafshir N and Alam KN and Dhruba AR and Khan MM and Albraikan AA and Almalki FA},
year = {2022},
journal = {Computational intelligence and neuroscience},
doi = {10.1155/2022/5007111},
url = {https://doi.org/10.1155/2022/5007111}
}RIS
TY - JOUR TI - Deep Learning for Ocular Disease Recognition: An Inner-Class Balance. AU - Khan MS AU - Tafshir N AU - Alam KN AU - Dhruba AR AU - Khan MM AU - Albraikan AA AU - Almalki FA PY - 2022 JO - Computational intelligence and neuroscience DO - 10.1155/2022/5007111 UR - https://doi.org/10.1155/2022/5007111 ER -
APA
MS, K., N, T., KN, A., AR, D., MM, K., AA, A., & FA, A. (2022). Deep Learning for Ocular Disease Recognition: An Inner-Class Balance.. Computational intelligence and neuroscience. https://doi.org/10.1155/2022/5007111
Source records
- pubmed · retrieved 2026-09-25T08:11:01.620Z