APA (7th ed.) Citation

Yao, X., Huang, X., Yang, C., Hu, A., Zhou, G., Ju, M., . . . Shu, J. (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 medical informatics, 8(10), e23578. https://doi.org/10.2196/23578

Chicago Style (17th ed.) Citation

Yao, Xiaopeng, Xinqiao Huang, Chunmei Yang, Anbin Hu, Guangjin Zhou, Mei Ju, Jianbo Lei, and Jian Shu. "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 Medical Informatics 8, no. 10 (2020): e23578. https://doi.org/10.2196/23578.

MLA (9th ed.) Citation

Yao, Xiaopeng, et al. "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 Medical Informatics, vol. 8, no. 10, 2020, p. e23578, https://doi.org/10.2196/23578.