Head and Neck Cancer Tumor Segmentation Using Support Vector Machine in Dynamic Contrast-Enhanced MRI.

Journal: Contrast media & molecular imaging
Published Date: Sep 7, 2017

Abstract

OBJECTIVE: We aimed to propose an automatic method based on Support Vector Machine (SVM) and Dynamic Contrast-Enhanced Magnetic Resonance Imaging (DCE-MRI) to segment the tumor lesions of head and neck cancer (HNC).

Authors

  • Wei Deng
    Department of Neurobiology, Affiliated Mental Health Center & Hangzhou Seventh People's Hospital, Zhejiang University School of Medicine, Hangzhou, China. dengw@zju.edu.cn.
  • Liangping Luo
    Medical Imaging Center, The First Affiliated Hospital of Jinan University, Guangzhou, China.
  • Xiaoyi Lin
    National-Regional Key Technology Engineering Laboratory for Medical Ultrasound, Guangdong Key Laboratory for Biomedical Measurements and Ultrasound Imaging, School of Biomedical Engineering, Health Science Centre, Shenzhen University, Shenzhen, China.
  • Tianqi Fang
    National-Regional Key Technology Engineering Laboratory for Medical Ultrasound, Guangdong Key Laboratory for Biomedical Measurements and Ultrasound Imaging, School of Biomedical Engineering, Health Science Centre, Shenzhen University, Shenzhen, China.
  • Dexiang Liu
    Department of Radiology, Guangzhou Panyu Central Hospital, Guangzhou, China.
  • Guo Dan
    School of Biomedical Engineering, Shenzhen University Medical School, Shenzhen University, Shenzhen, Guangdong, China. danguo@szu.edu.cn.
  • Hanwei Chen
    Guangzhou Panyu Central Hospital, Guangzhou, China.

Keywords

External Resources

Popular Topics
Recent Journals