Differential diagnosis model for tuberculous and malignant pleural effusion combining U-Net automatic segmentation and deep learning.

Song C, Zhao CY, Song SL, Huang XW, Qiang HB, Lin XS, Huang ZT, Xie ZH, Zhu QD

DOI: 10.3389/fmed.2026.1855938
Published: 2026
Container: Frontiers in medicine
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. Source: Crossref; license: CC0 metadata
cautionDOI resolves: No matching Crossref record was present in this response. Source: Crossref; license: CC0 metadata
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. Source: DOAJ; license: CC0
not scoredMEDLINE indexed: Not checked or no result supplied; no credibility inference made. Source: No authority result supplied; license: Unknown
not scoredOpenAlex core source: Not checked or no result supplied; no credibility inference made. Source: No authority result supplied; license: Unknown
not scoredKnown publisher allow-list: Not checked or no result supplied; no credibility inference made. Source: No authority result supplied; license: Unknown
not scoredROR affiliation: Not checked or no result supplied; no credibility inference made. Source: No authority result supplied; license: Unknown
not scoredRetraction Watch retraction: No retraction notice matched this DOI in the deployed snapshot. No matching event found; coverage may be incomplete. Source: Retraction Watch; license: CC BY 4.0
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. Source: Retraction Watch; license: CC BY 4.0
not scoredRetraction Watch correction: No correction notice matched this DOI in the deployed snapshot. No matching event found; coverage may be incomplete. Source: Retraction Watch; license: CC BY 4.0
not scoredRetraction Watch reinstatement: No reinstatement notice matched this DOI in the deployed snapshot. No matching event found; coverage may be incomplete. Source: Retraction Watch; license: CC BY 4.0
supportingOpen access status: Normalized open-access status: open. Source: Normalized work metadata; license: Caller-provided; provenance license not supplied to scorer
not scoredPublication license: Not checked or no result supplied; no credibility inference made. Source: No authority result supplied; license: Unknown
not scoredPublication version: A publication version was supplied but is not scored. Source: Normalized work metadata; license: Caller-provided; provenance license not supplied to scorer
cautionMetadata completeness: 5 of 6 scored descriptive metadata groups are present; missing fields increase uncertainty. Source: Normalized work metadata; license: Caller-provided; provenance license not supplied to scorer

Cite this work

BibTeX

@article{allodium:10.3389/fmed.2026.1855938,
  title = {Differential diagnosis model for tuberculous and malignant pleural effusion combining U-Net automatic segmentation and deep learning.},
  author = {Song C and Zhao CY and Song SL and Huang XW and Qiang HB and Lin XS and Huang ZT and Xie ZH and Zhu QD},
  year = {2026},
  journal = {Frontiers in medicine},
  doi = {10.3389/fmed.2026.1855938},
  url = {https://doi.org/10.3389/fmed.2026.1855938}
}

RIS

TY  - JOUR
TI  - Differential diagnosis model for tuberculous and malignant pleural effusion combining U-Net automatic segmentation and deep learning.
AU  - Song C
AU  - Zhao CY
AU  - Song SL
AU  - Huang XW
AU  - Qiang HB
AU  - Lin XS
AU  - Huang ZT
AU  - Xie ZH
AU  - Zhu QD
PY  - 2026
JO  - Frontiers in medicine
DO  - 10.3389/fmed.2026.1855938
UR  - https://doi.org/10.3389/fmed.2026.1855938
ER  -

APA

C, S., CY, Z., SL, S., XW, H., HB, Q., XS, L., ZT, H., ZH, X., & QD, Z. (2026). Differential diagnosis model for tuberculous and malignant pleural effusion combining U-Net automatic segmentation and deep learning.. Frontiers in medicine. https://doi.org/10.3389/fmed.2026.1855938

Source records

pubmed · retrieved 2026-09-26T03:22:13.586Z