Breast Cancer Recurrence Status Assessment in 5 Years Using Multimodal Integrated Learning: A Feasibility Study.

Chang RF, Huang HW, Kuo SY, Lee YW, Wang MY, Huang CS

DOI: 10.1007/s10278-026-02252-z
Published: 2026 Sep 8
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/s10278-026-02252-z,
  title = {Breast Cancer Recurrence Status Assessment in 5 Years Using Multimodal Integrated Learning: A Feasibility Study.},
  author = {Chang RF and Huang HW and Kuo SY and Lee YW and Wang MY and Huang CS},
  year = {2026},
  journal = {Journal of imaging informatics in medicine},
  doi = {10.1007/s10278-026-02252-z},
  url = {https://doi.org/10.1007/s10278-026-02252-z}
}

RIS

TY  - JOUR
TI  - Breast Cancer Recurrence Status Assessment in 5 Years Using Multimodal Integrated Learning: A Feasibility Study.
AU  - Chang RF
AU  - Huang HW
AU  - Kuo SY
AU  - Lee YW
AU  - Wang MY
AU  - Huang CS
PY  - 2026
JO  - Journal of imaging informatics in medicine
DO  - 10.1007/s10278-026-02252-z
UR  - https://doi.org/10.1007/s10278-026-02252-z
ER  -

APA

RF, C., HW, H., SY, K., YW, L., MY, W., & CS, H. (2026). Breast Cancer Recurrence Status Assessment in 5 Years Using Multimodal Integrated Learning: A Feasibility Study.. Journal of imaging informatics in medicine. https://doi.org/10.1007/s10278-026-02252-z

Source records

pubmed · retrieved 2026-09-26T04:00:01.075Z
europe-pmc · retrieved 2026-09-26T04:00:01.089Z