Diagnostic Assessment of Deep Learning Algorithms for Frozen Tissue Section Analysis in Women with Breast Cancer.
- DOI
- 10.4143/crt.2022.055
- Published
- 2023 Apr
- Container
- Cancer research and treatment
- 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:10.4143/crt.2022.055,
title = {Diagnostic Assessment of Deep Learning Algorithms for Frozen Tissue Section Analysis in Women with Breast Cancer.},
author = {Kim YG and Song IH and Cho SY and Kim S and Kim M and Ahn S and Lee H and Yang DH and Kim N and Kim S and Kim T and Kim D and Choi J and Lee KS and Ma M and Jo M and Park SY and Gong G},
year = {2023},
journal = {Cancer research and treatment},
doi = {10.4143/crt.2022.055},
url = {https://doi.org/10.4143/crt.2022.055}
}RIS
TY - JOUR TI - Diagnostic Assessment of Deep Learning Algorithms for Frozen Tissue Section Analysis in Women with Breast Cancer. AU - Kim YG AU - Song IH AU - Cho SY AU - Kim S AU - Kim M AU - Ahn S AU - Lee H AU - Yang DH AU - Kim N AU - Kim S AU - Kim T AU - Kim D AU - Choi J AU - Lee KS AU - Ma M AU - Jo M AU - Park SY AU - Gong G PY - 2023 JO - Cancer research and treatment DO - 10.4143/crt.2022.055 UR - https://doi.org/10.4143/crt.2022.055 ER -
APA
YG, K., IH, S., SY, C., S, K., M, K., S, A., H, L., DH, Y., N, K., S, K., T, K., D, K., J, C., KS, L., M, M., M, J., SY, P., & G, G. (2023). Diagnostic Assessment of Deep Learning Algorithms for Frozen Tissue Section Analysis in Women with Breast Cancer.. Cancer research and treatment. https://doi.org/10.4143/crt.2022.055
Source records
- pubmed · retrieved 2026-09-27T15:55:02.801Z