Interpretable machine learning via symbolic classification of radiomic texture and morphological features for pediatric pneumonia detection from chest X-rays
- DOI
- 10.1371/journal.pone.0351081
- Published
- 2026-06-22
- Container
- PLOS One
- Publisher
- Public Library of Science (PLoS)
- 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:10.1371/journal.pone.0351081,
title = {Interpretable machine learning via symbolic classification of radiomic texture and morphological features for pediatric pneumonia detection from chest X-rays},
author = {Filippos Sofos and Zoi D. Pana and Dimitris Drikakis},
year = {2026},
journal = {PLOS One},
doi = {10.1371/journal.pone.0351081},
url = {https://doi.org/10.1371/journal.pone.0351081}
}RIS
TY - JOUR TI - Interpretable machine learning via symbolic classification of radiomic texture and morphological features for pediatric pneumonia detection from chest X-rays AU - Filippos Sofos AU - Zoi D. Pana AU - Dimitris Drikakis PY - 2026 JO - PLOS One DO - 10.1371/journal.pone.0351081 UR - https://doi.org/10.1371/journal.pone.0351081 ER -
APA
Sofos, F., Pana, Z. D., & Drikakis, D. (2026). Interpretable machine learning via symbolic classification of radiomic texture and morphological features for pediatric pneumonia detection from chest X-rays. PLOS One. https://doi.org/10.1371/journal.pone.0351081
Source records
- crossref · retrieved 2026-09-26T05:40:55.639Z