Neural Network and Logistic Regression Models Based on Ultrasound Radiomics and Clinical-Pathological Features to Predict Occult Level II Lymph Node Metastasis in Papillary Thyroid Carcinoma.
- DOI
- 10.1016/j.acra.2024.12.037
- Published
- 2025 Apr
- Container
- Academic radiology
- Publisher
- Not recorded
- Open access
- no
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Cite this work
BibTeX
@article{allodium:10.1016/j.acra.2024.12.037,
title = {Neural Network and Logistic Regression Models Based on Ultrasound Radiomics and Clinical-Pathological Features to Predict Occult Level II Lymph Node Metastasis in Papillary Thyroid Carcinoma.},
author = {Feng JW and Liu SQ and Yang YX and Qi GF and Ye X and Ye J and Jiang Y and Lin H},
year = {2025},
journal = {Academic radiology},
doi = {10.1016/j.acra.2024.12.037},
url = {https://doi.org/10.1016/j.acra.2024.12.037}
}RIS
TY - JOUR TI - Neural Network and Logistic Regression Models Based on Ultrasound Radiomics and Clinical-Pathological Features to Predict Occult Level II Lymph Node Metastasis in Papillary Thyroid Carcinoma. AU - Feng JW AU - Liu SQ AU - Yang YX AU - Qi GF AU - Ye X AU - Ye J AU - Jiang Y AU - Lin H PY - 2025 JO - Academic radiology DO - 10.1016/j.acra.2024.12.037 UR - https://doi.org/10.1016/j.acra.2024.12.037 ER -
APA
JW, F., SQ, L., YX, Y., GF, Q., X, Y., J, Y., Y, J., & H, L. (2025). Neural Network and Logistic Regression Models Based on Ultrasound Radiomics and Clinical-Pathological Features to Predict Occult Level II Lymph Node Metastasis in Papillary Thyroid Carcinoma.. Academic radiology. https://doi.org/10.1016/j.acra.2024.12.037
Source records
- pubmed · retrieved 2026-09-25T21:57:55.121Z
- europe-pmc · retrieved 2026-09-25T21:57:55.138Z