Published on in Vol 9, No 1 (2021): January

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/25337, first published .
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

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

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

Xiaopeng Yao   1, 2 , PhD ;   Xinqiao Huang   3 , MD ;   Chunmei Yang   3 , MD ;   Anbin Hu   1, 2 , PhD ;   Guangjin Zhou   4 , BA ;   Mei Ju   5 , MA ;   Jianbo Lei   1, 6 * , PhD ;   Jian Shu   3 * , PhD

1 School of Medical Information and Engineering, Southwest Medical University, Luzhou, China

2 Central Nervous System Drug Key Laboratory of Sichuan Province, Southwest Medical University, Luzhou, China

3 Department of Radiology, the Affiliated Hospital of Southwest Medical University, Luzhou, China

4 Department of Radiology, Peking University Third Hospital, Beijing, China

5 School of Nursing, Southwest Medical University, Sichuan Province, Luzhou, China

6 Institute of Medical Technology/Center for Medical Informatics, Peking University, Beijing, China

*these authors contributed equally

Corresponding Author:

  • Jian Shu, PhD
  • Department of Radiology, the Affiliated Hospital of Southwest Medical University
  • 25 Taiping Street
  • Luzhou
  • China
  • Phone: 86 18980253083
  • Email: shujiannc@163.com