A Thyroid Nodule Differentiation Model for Benign-Malignant Identification by Fusing Transfer Learning and Gradient Boosting Decision Tree.

Li B, Li T, Ju H, Zhang D, Zhang Y, Guo L

DOI: 10.1007/s10278-026-02120-w
Published: 2026 Jul 29
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/s10278-026-02120-w,
  title = {A Thyroid Nodule Differentiation Model for Benign-Malignant Identification by Fusing Transfer Learning and Gradient Boosting Decision Tree.},
  author = {Li B and Li T and Ju H and Zhang D and Zhang Y and Guo L},
  year = {2026},
  journal = {Journal of imaging informatics in medicine},
  doi = {10.1007/s10278-026-02120-w},
  url = {https://doi.org/10.1007/s10278-026-02120-w}
}

RIS

TY  - JOUR
TI  - A Thyroid Nodule Differentiation Model for Benign-Malignant Identification by Fusing Transfer Learning and Gradient Boosting Decision Tree.
AU  - Li B
AU  - Li T
AU  - Ju H
AU  - Zhang D
AU  - Zhang Y
AU  - Guo L
PY  - 2026
JO  - Journal of imaging informatics in medicine
DO  - 10.1007/s10278-026-02120-w
UR  - https://doi.org/10.1007/s10278-026-02120-w
ER  -

APA

B, L., T, L., H, J., D, Z., Y, Z., & L, G. (2026). A Thyroid Nodule Differentiation Model for Benign-Malignant Identification by Fusing Transfer Learning and Gradient Boosting Decision Tree.. Journal of imaging informatics in medicine. https://doi.org/10.1007/s10278-026-02120-w

Source records

pubmed · retrieved 2026-09-25T18:55:42.118Z
europe-pmc · retrieved 2026-09-25T18:55:42.118Z