Artificial intelligence standardizes CT-based body composition analysis in breast cacer to address methodological heterogeneity.

Duan W, Wang R

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DOI: 10.3389/fonc.2026.1891251
Published: 2026
Container: Frontiers in oncology
Publisher: Not recorded
Open access: yes

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Cite this work

BibTeX

@article{allodium:10.3389/fonc.2026.1891251,
  title = {Artificial intelligence standardizes CT-based body composition analysis in breast cacer to address methodological heterogeneity.},
  author = {Duan W and Wang R},
  year = {2026},
  journal = {Frontiers in oncology},
  doi = {10.3389/fonc.2026.1891251},
  url = {https://doi.org/10.3389/fonc.2026.1891251}
}

RIS

TY  - JOUR
TI  - Artificial intelligence standardizes CT-based body composition analysis in breast cacer to address methodological heterogeneity.
AU  - Duan W
AU  - Wang R
PY  - 2026
JO  - Frontiers in oncology
DO  - 10.3389/fonc.2026.1891251
UR  - https://doi.org/10.3389/fonc.2026.1891251
ER  -

APA

W, D., & R, W. (2026). Artificial intelligence standardizes CT-based body composition analysis in breast cacer to address methodological heterogeneity.. Frontiers in oncology. https://doi.org/10.3389/fonc.2026.1891251

Source records

pubmed · retrieved 2026-09-25T15:15:19.094Z
europe-pmc · retrieved 2026-09-25T15:15:19.125Z
doaj · retrieved 2026-09-25T15:15:19.107Z