MIFF-CLIP-HCC: Contrastive Language-Image Pretraining-enhanced multimodal information fusion framework for early recurrence prediction in postoperative hepatocellular carcinoma.
- DOI
- 10.21037/qims-2026-0513
- Published
- 2026 Nov 1
- Container
- Quantitative imaging in medicine and surgery
- 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-2026-0513,
title = {MIFF-CLIP-HCC: Contrastive Language-Image Pretraining-enhanced multimodal information fusion framework for early recurrence prediction in postoperative hepatocellular carcinoma.},
author = {Diao X and Liu R and Li B and Lu Z and Gao Z and Feng S and Wang J and Xie C and Sun M and Huang B},
year = {2026},
journal = {Quantitative imaging in medicine and surgery},
doi = {10.21037/qims-2026-0513},
url = {https://doi.org/10.21037/qims-2026-0513}
}RIS
TY - JOUR TI - MIFF-CLIP-HCC: Contrastive Language-Image Pretraining-enhanced multimodal information fusion framework for early recurrence prediction in postoperative hepatocellular carcinoma. AU - Diao X AU - Liu R AU - Li B AU - Lu Z AU - Gao Z AU - Feng S AU - Wang J AU - Xie C AU - Sun M AU - Huang B PY - 2026 JO - Quantitative imaging in medicine and surgery DO - 10.21037/qims-2026-0513 UR - https://doi.org/10.21037/qims-2026-0513 ER -
APA
X, D., R, L., B, L., Z, L., Z, G., S, F., J, W., C, X., M, S., & B, H. (2026). MIFF-CLIP-HCC: Contrastive Language-Image Pretraining-enhanced multimodal information fusion framework for early recurrence prediction in postoperative hepatocellular carcinoma.. Quantitative imaging in medicine and surgery. https://doi.org/10.21037/qims-2026-0513
Source records
- pubmed · retrieved 2026-11-09T03:32:03.908Z