Cauchy Lotus Optimization-based feature selection and ResNet 101 based XceptionNet architecture for radiation pneumonitis prediction in lung cancer patients.
- DOI
- 10.1016/j.meddos.2026.03.008
- Published
- 2026
- Container
- Medical dosimetry : official journal of the American Association of Medical Dosimetrists
- Publisher
- Not recorded
- Open access
- no
Credibility signals
limited evidence Score 43/100 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.
- 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.
- cautionMetadata completeness: 5 of 6 scored descriptive metadata groups are present; missing fields increase uncertainty.
Cite this work
BibTeX
@article{allodium:10.1016/j.meddos.2026.03.008,
title = {Cauchy Lotus Optimization-based feature selection and ResNet 101 based XceptionNet architecture for radiation pneumonitis prediction in lung cancer patients.},
author = {Byeon H and Ezhilan M and Kale-Thombre PP and Lawrence J and Lazha A and Johnson S},
year = {2026},
journal = {Medical dosimetry : official journal of the American Association of Medical Dosimetrists},
doi = {10.1016/j.meddos.2026.03.008},
url = {https://doi.org/10.1016/j.meddos.2026.03.008}
}RIS
TY - JOUR TI - Cauchy Lotus Optimization-based feature selection and ResNet 101 based XceptionNet architecture for radiation pneumonitis prediction in lung cancer patients. AU - Byeon H AU - Ezhilan M AU - Kale-Thombre PP AU - Lawrence J AU - Lazha A AU - Johnson S PY - 2026 JO - Medical dosimetry : official journal of the American Association of Medical Dosimetrists DO - 10.1016/j.meddos.2026.03.008 UR - https://doi.org/10.1016/j.meddos.2026.03.008 ER -
APA
H, B., M, E., PP, K., J, L., A, L., & S, J. (2026). Cauchy Lotus Optimization-based feature selection and ResNet 101 based XceptionNet architecture for radiation pneumonitis prediction in lung cancer patients.. Medical dosimetry : official journal of the American Association of Medical Dosimetrists. https://doi.org/10.1016/j.meddos.2026.03.008
Source records
- pubmed · retrieved 2026-09-26T06:08:06.002Z
- europe-pmc · retrieved 2026-09-26T06:08:06.025Z