Esophageal cancer detection based on classification of gastrointestinal CT images using improved Faster RCNN.

Journal: Computer methods and programs in biomedicine
Published Date:

Abstract

PURPOSE: Esophageal cancer is a common malignant tumor in life, which seriously affects human health. In order to reduce the work intensity of doctors and improve detection accuracy, we proposed esophageal cancer detection using deep learning. The characteristics of deep learning: association and structure, activity and experience, essence and variation, migration and application, value and evaluation.

Authors

  • Kuan-Bing Chen
    Department of Thoracic Surgery, Shengjing Hospital of China Medical University, Shenyang, Liaoning, China.
  • Ying Xuan
    Department of Clinical Oncology, Shengjing Hospital of China Medical University, Shenyang, Liaoning, China. Electronic address: xuanying_cmu@163.com.
  • Ai-Jun Lin
    Department of Radiology, Shengjing Hospital of China Medical University, Shenyang, Liaoning, China.
  • Shao-Hua Guo
    Computer Center, Shengjing Hospital of China Medical University, Shenyang, Liaoning, China.