A Novel Approach to Assessing Differentiation Degree and Lymph Node Metastasis of Extrahepatic Cholangiocarcinoma: Prediction Using a Radiomics-Based Particle Swarm Optimization and Support Vector Machine Model.
- DOI
- 10.2196/23578
- Published
- 2020-10-05
- Container
- JMIR Med Inform
- Publisher
- Not recorded
- Open access
- yes
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Cite this work
BibTeX
@article{allodium:10.2196/23578,
title = {A Novel Approach to Assessing Differentiation Degree and Lymph Node Metastasis of Extrahepatic Cholangiocarcinoma: Prediction Using a Radiomics-Based Particle Swarm Optimization and Support Vector Machine Model.},
author = {Yao X and Huang X and Yang C and Hu A and Zhou G and Lei J and Shu J.},
year = {2020},
journal = {JMIR Med Inform},
doi = {10.2196/23578},
url = {https://doi.org/10.2196/23578}
}RIS
TY - JOUR TI - A Novel Approach to Assessing Differentiation Degree and Lymph Node Metastasis of Extrahepatic Cholangiocarcinoma: Prediction Using a Radiomics-Based Particle Swarm Optimization and Support Vector Machine Model. AU - Yao X AU - Huang X AU - Yang C AU - Hu A AU - Zhou G AU - Lei J AU - Shu J. PY - 2020 JO - JMIR Med Inform DO - 10.2196/23578 UR - https://doi.org/10.2196/23578 ER -
APA
X, Y., X, H., C, Y., A, H., G, Z., J, L., & J., S. (2020). A Novel Approach to Assessing Differentiation Degree and Lymph Node Metastasis of Extrahepatic Cholangiocarcinoma: Prediction Using a Radiomics-Based Particle Swarm Optimization and Support Vector Machine Model.. JMIR Med Inform. https://doi.org/10.2196/23578
Source records
- europe-pmc · retrieved 2026-09-24T21:18:23.905Z
- doaj · retrieved 2026-09-24T21:18:23.905Z