Development and validation of a CT-based deep learning radiomics model for differentiating parathyroid adenoma from atypical parathyroid tumor/parathyroid carcinoma.
- DOI
- 10.1016/j.ejrad.2026.112808
- Published
- 2026 Jun
- Container
- European journal of radiology
- Publisher
- Not recorded
- Open access
- unknown
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Cite this work
BibTeX
@article{allodium:10.1016/j.ejrad.2026.112808,
title = {Development and validation of a CT-based deep learning radiomics model for differentiating parathyroid adenoma from atypical parathyroid tumor/parathyroid carcinoma.},
author = {Wen S and Huang M and Wang Z and Tian Y and Wang P and Li F and Li W},
year = {2026},
journal = {European journal of radiology},
doi = {10.1016/j.ejrad.2026.112808},
url = {https://doi.org/10.1016/j.ejrad.2026.112808}
}RIS
TY - JOUR TI - Development and validation of a CT-based deep learning radiomics model for differentiating parathyroid adenoma from atypical parathyroid tumor/parathyroid carcinoma. AU - Wen S AU - Huang M AU - Wang Z AU - Tian Y AU - Wang P AU - Li F AU - Li W PY - 2026 JO - European journal of radiology DO - 10.1016/j.ejrad.2026.112808 UR - https://doi.org/10.1016/j.ejrad.2026.112808 ER -
APA
S, W., M, H., Z, W., Y, T., P, W., F, L., & W, L. (2026). Development and validation of a CT-based deep learning radiomics model for differentiating parathyroid adenoma from atypical parathyroid tumor/parathyroid carcinoma.. European journal of radiology. https://doi.org/10.1016/j.ejrad.2026.112808
Source records
- pubmed · retrieved 2026-09-27T00:35:07.584Z