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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

机译：评估脱胸腺胆管癌分化程度和淋巴结转移的新方法：使用基于辐射基的粒子群优化和支持向量机模型预测

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Xiaopeng Yao; Xinqiao Huang; Chunmei Yang; Anbin Hu; Guangjin Zhou; Mei Ju; Jianbo Lei; Jian Shu;
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年度 2020
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1. Correction: 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 [J] . Xiaopeng Yao, Xinqiao Huang, Chunmei Yang, JMIR Medical Informatics . 2021,第1期

机译：校正：评估肝胆管癌分化度和淋巴结转移的新方法：使用基于辐射族粒子群优化的预测和支持向量机模型
2. 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 [J] . Xiaopeng Yao, Xinqiao Huang, Chunmei Yang, JMIR Medical Informatics . 2020,第10期

机译：评估脱胸腺胆管癌分化程度和淋巴结转移的新方法：使用基于辐射基的粒子群优化和支持向量机模型预测
3. A Machine Learning Approach with Support Vector Machine (SVM) for Prediction of Preoperative Lymph Node Status with MR Images and clinical features for Intrahepatic Cholangiocarcinoma [J] . Xu L., Yang P., Liang W., International Journal of Radiation Oncology, Biology, Physics . 2019,第1Suppla期

机译：具有支持向量机（SVM）的机器学习方法，用于预测术前淋巴结状态与肝内胆管癌的MR图像和临床特征
4. A hybrid approach of support vector machine with particle swarm optimization for water quality prediction [C] . Xuan Wang, Jiake Lv, Deti Xie Proceedings of the 5th International Conference on Computer Science and Education . 2010

机译：支持向量机与粒子群优化相结合的水质预测方法。
5. Prediction of catalytic site in proteins using support vector machine classifier and conservation of prediction approach. [D] . Petrova, Natalia V. 2008

机译：使用支持向量机分类器预测蛋白质中的催化位点并保留预测方法。
6. Support Vector Machines Model of Computed Tomography for Assessing Lymph Node Metastasis in Esophageal Cancer with Neoadjuvant Chemotherapy [O] . Zhi-Long Wang, Zhi-Guo Zhou, Ying Chen, -1

机译：支持层析成像技术在食管癌新辅助化疗中评估淋巴结转移的计算机断层扫描模型
7. A Machine Learning Approach with Support Vector Machine (SVM) for Prediction of Preoperative Lymph Node Status with MR Images and clinical features for Intrahepatic Cholangiocarcinoma [O] . L. Xu, P. Yang, W. Liang, 2019

机译：具有支持向量机（SVM）的机器学习方法，用于预测术前淋巴结状态与肝内胆管癌的MR图像和临床特征

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

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