Enhancing Image-Text Alignment in Chest X-ray Datasets by Reducing External References via a Fine-Tuned Large Language Model Pipeline.

Chen YR, Kuo CF, Lin CH

DOI: 10.1007/s10278-026-02244-z
Published: 2026 Aug 31
Container: Journal of imaging informatics in medicine
Publisher: Not recorded
Open access: no

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Cite this work

BibTeX

@article{allodium:10.1007/s10278-026-02244-z,
  title = {Enhancing Image-Text Alignment in Chest X-ray Datasets by Reducing External References via a Fine-Tuned Large Language Model Pipeline.},
  author = {Chen YR and Kuo CF and Lin CH},
  year = {2026},
  journal = {Journal of imaging informatics in medicine},
  doi = {10.1007/s10278-026-02244-z},
  url = {https://doi.org/10.1007/s10278-026-02244-z}
}

RIS

TY  - JOUR
TI  - Enhancing Image-Text Alignment in Chest X-ray Datasets by Reducing External References via a Fine-Tuned Large Language Model Pipeline.
AU  - Chen YR
AU  - Kuo CF
AU  - Lin CH
PY  - 2026
JO  - Journal of imaging informatics in medicine
DO  - 10.1007/s10278-026-02244-z
UR  - https://doi.org/10.1007/s10278-026-02244-z
ER  -

APA

YR, C., CF, K., & CH, L. (2026). Enhancing Image-Text Alignment in Chest X-ray Datasets by Reducing External References via a Fine-Tuned Large Language Model Pipeline.. Journal of imaging informatics in medicine. https://doi.org/10.1007/s10278-026-02244-z

Source records

pubmed · retrieved 2026-09-26T08:19:53.747Z
europe-pmc · retrieved 2026-09-26T08:19:53.762Z