Effects of convolutional neural network models on the segmentation of the interscalene brachial plexus in ultrasound imaging for radiomics.
- DOI
- 10.21037/qims-2026-0588
- Published
- 2026-08-10
- Container
- Quant Imaging Med Surg
- 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:10.21037/qims-2026-0588,
title = {Effects of convolutional neural network models on the segmentation of the interscalene brachial plexus in ultrasound imaging for radiomics.},
author = {Zhao Y and Cai N and Zhong H and Zheng S and Zhu F and Zhang W and Zhou Y and Wang G.},
year = {2026},
journal = {Quant Imaging Med Surg},
doi = {10.21037/qims-2026-0588},
url = {https://doi.org/10.21037/qims-2026-0588}
}RIS
TY - JOUR TI - Effects of convolutional neural network models on the segmentation of the interscalene brachial plexus in ultrasound imaging for radiomics. AU - Zhao Y AU - Cai N AU - Zhong H AU - Zheng S AU - Zhu F AU - Zhang W AU - Zhou Y AU - Wang G. PY - 2026 JO - Quant Imaging Med Surg DO - 10.21037/qims-2026-0588 UR - https://doi.org/10.21037/qims-2026-0588 ER -
APA
Y, Z., N, C., H, Z., S, Z., F, Z., W, Z., Y, Z., & G., W. (2026). Effects of convolutional neural network models on the segmentation of the interscalene brachial plexus in ultrasound imaging for radiomics.. Quant Imaging Med Surg. https://doi.org/10.21037/qims-2026-0588
Source records
- europe-pmc · retrieved 2026-09-26T17:58:22.985Z