An automated tuberculosis detection approach using deep learning and machine learning techniques from chest X-ray images: a step towards effective diagnosis.
- DOI
- 10.5114/pjr/213688
- Published
- 2026
- Container
- Polish journal of radiology
- Publisher
- Not recorded
- Open access
- yes
Credibility signals
limited evidence Score 45/100 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.
- 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.
- 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:10.5114/pjr/213688,
title = {An automated tuberculosis detection approach using deep learning and machine learning techniques from chest X-ray images: a step towards effective diagnosis.},
author = {Nabil ASM and Mridha MMR and Shakil MSA and Moon IT and Islam MF and Chaudhary MJ and Imtiaz S and Khan MT},
year = {2026},
journal = {Polish journal of radiology},
doi = {10.5114/pjr/213688},
url = {https://doi.org/10.5114/pjr/213688}
}RIS
TY - JOUR TI - An automated tuberculosis detection approach using deep learning and machine learning techniques from chest X-ray images: a step towards effective diagnosis. AU - Nabil ASM AU - Mridha MMR AU - Shakil MSA AU - Moon IT AU - Islam MF AU - Chaudhary MJ AU - Imtiaz S AU - Khan MT PY - 2026 JO - Polish journal of radiology DO - 10.5114/pjr/213688 UR - https://doi.org/10.5114/pjr/213688 ER -
APA
ASM, N., MMR, M., MSA, S., IT, M., MF, I., MJ, C., S, I., & MT, K. (2026). An automated tuberculosis detection approach using deep learning and machine learning techniques from chest X-ray images: a step towards effective diagnosis.. Polish journal of radiology. https://doi.org/10.5114/pjr/213688
Source records
- pubmed · retrieved 2026-09-25T10:42:21.613Z