Preoperative prediction of thymoma risk classification with machine learning-based computed tomography radiomics features.

Zhao K, Liu Y, Xu H, Cai W, Jin J, Shen L, Zhu Z, Han H, Hu M, Lu Q, Xue Z

Open source

DOI
10.1186/s12957-026-04463-8
Published
2026 Jun 19
Container
World journal of surgical oncology
Publisher
Not recorded
Open access
yes

Credibility signals

uncertain Score 53/100 under policy 1.0.0. This is a metadata assessment, not a judgment of the paper's conclusions.

Show all credibility signals

Cite this work

BibTeX

@article{allodium:10.1186/s12957-026-04463-8,
  title = {Preoperative prediction of thymoma risk classification with machine learning-based computed tomography radiomics features.},
  author = {Zhao K and Liu Y and Xu H and Cai W and Jin J and Shen L and Zhu Z and Han H and Hu M and Lu Q and Xue Z},
  year = {2026},
  journal = {World journal of surgical oncology},
  doi = {10.1186/s12957-026-04463-8},
  url = {https://doi.org/10.1186/s12957-026-04463-8}
}

RIS

TY  - JOUR
TI  - Preoperative prediction of thymoma risk classification with machine learning-based computed tomography radiomics features.
AU  - Zhao K
AU  - Liu Y
AU  - Xu H
AU  - Cai W
AU  - Jin J
AU  - Shen L
AU  - Zhu Z
AU  - Han H
AU  - Hu M
AU  - Lu Q
AU  - Xue Z
PY  - 2026
JO  - World journal of surgical oncology
DO  - 10.1186/s12957-026-04463-8
UR  - https://doi.org/10.1186/s12957-026-04463-8
ER  -

APA

K, Z., Y, L., H, X., W, C., J, J., L, S., Z, Z., H, H., M, H., Q, L., & Z, X. (2026). Preoperative prediction of thymoma risk classification with machine learning-based computed tomography radiomics features.. World journal of surgical oncology. https://doi.org/10.1186/s12957-026-04463-8

Source records