Computer-aided diagnosis and regional segmentation of nasopharyngeal carcinoma based on multi-modality medical images.

Journal: International journal of computer assisted radiology and surgery
Published Date: Mar 29, 2021

Abstract

PURPOSE: Nasopharyngeal carcinoma (NPC) is a category of tumors with high incidence in head-and-neck (H&N) body region, and the diagnosis and treatment planning are usually conducted by radiologists manually, which is tedious, time-consuming and unrepeatable. In this paper, we integrated different stages of this process and proposed a computer-aided framework to realize automatic detection, tumor region and sub-region segmentation, and visualization of NPC, which are usually investigated separately in literatures.

Authors

  • Yuxiao Qi
    Institute of Image Processing and Pattern Recognition, Department of Automation, Shanghai Jiao Tong University, Shanghai, 200240, People's Republic of China.
  • Jieyu Li
    Institute of Image Processing and Pattern Recognition, Department of Automation, Shanghai Jiao Tong University, Shanghai, 200240, People's Republic of China. lijieyu@sjtu.edu.cn.
  • Huai Chen
    Department of Radiology, The First Affiliated Hospital of Guangzhou Medical University, Guangzhou, Guangdong 510120, China.
  • Yujie Guo
    Shandong Cancer Hospital and Institute, Shandong First Medical University and Shandong Academy of Medical Sciences, Jinan, 250117, People's Republic of China.
  • Yong Yin
    Department of Radiation Oncology, Shandong Cancer Hospital, Jinan, Shandong, 250117, China.
  • Guanzhong Gong
    Shandong Cancer Hospital and Institute, Shandong First Medical University and Shandong Academy of Medical Sciences, Jinan, 250117, People's Republic of China. gongguanzhong@163.com.
  • Lisheng Wang
    Department of Automation, Shanghai Jiaotong University, China.

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