A deep learning model utilizing H&E-stained images for predicting HER2-low expression in breast cancer.

Zeng J, Luo S, Li J, Li Y, Chen J, Wang J

Open source

DOI: 10.1186/s13000-026-01838-z
Published: 2026 Aug 11
Container: Diagnostic pathology
Publisher: Not recorded
Open access: yes

Credibility signals

uncertain Score 53/100 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
supportingDirectory of Open Access Journals: A matching record was returned by DOAJ. 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:10.1186/s13000-026-01838-z,
  title = {A deep learning model utilizing H\&E-stained images for predicting HER2-low expression in breast cancer.},
  author = {Zeng J and Luo S and Li J and Li Y and Chen J and Wang J},
  year = {2026},
  journal = {Diagnostic pathology},
  doi = {10.1186/s13000-026-01838-z},
  url = {https://doi.org/10.1186/s13000-026-01838-z}
}

RIS

TY  - JOUR
TI  - A deep learning model utilizing H&E-stained images for predicting HER2-low expression in breast cancer.
AU  - Zeng J
AU  - Luo S
AU  - Li J
AU  - Li Y
AU  - Chen J
AU  - Wang J
PY  - 2026
JO  - Diagnostic pathology
DO  - 10.1186/s13000-026-01838-z
UR  - https://doi.org/10.1186/s13000-026-01838-z
ER  -

APA

J, Z., S, L., J, L., Y, L., J, C., & J, W. (2026). A deep learning model utilizing H&E-stained images for predicting HER2-low expression in breast cancer.. Diagnostic pathology. https://doi.org/10.1186/s13000-026-01838-z

Source records

pubmed · retrieved 2026-11-11T00:10:34.581Z
europe-pmc · retrieved 2026-11-11T00:10:34.582Z
doaj · retrieved 2026-11-11T00:10:34.611Z