[Performance of Deep-learning-based Artificial Intelligence on Detection of Pulmonary Nodules in Chest CT].

Journal: Zhongguo fei ai za zhi = Chinese journal of lung cancer
Published Date: Jun 20, 2019

Abstract

BACKGROUND: The detection of pulmonary nodules is a key step to achieving the early diagnosis and therapy of lung cancer. Deep learning based Artificial intelligence (AI) presents as the state of the art in the area of nodule detection, however, a validation with clinical data is necessary for further application. Therefore, the aim of this study is to evaluate the performance of AI in the detection of malignant and non-calcified nodules in chest CT.

Authors

  • Xinling Li
    Shandong Institute for Food and Drug Control, Ji'nan 250101, China.
  • Fangfang Guo
    Department of Radiology, the First Affiliated Hospital of XinXiang Medical College, Xinxiang 453100, China.
  • Zhen Zhou
    Deepwise Healthcare, Beijing 100080, China.
  • Fandong Zhang
    Deepwise Artificial Intelligence (AI) Lab, Deepwise, Beijing, China.
  • Qin Wang
    Department of Pharmacy, Affiliated Hospital of Nantong University, Nantong, China.
  • Zhijun Peng
    Department of Radiology, Tianjin Medical University General Hospital, Tianjin 300052, China.
  • Datong Su
    Department of Radiology, Tianjin Medical University General Hospital, Tianjin 300052, China.
  • Yaguang Fan
    Tianjin Key Laboratory of Lung Cancer Metastasis and Tumor Microenvironment, Tianjin Lung Cancer Institute, Tianjin Medical University General Hospital, Tianjin 300052, China.
  • Ying Wang
    Key Laboratory of Macromolecular Science of Shaanxi Province, School of Chemistry & Chemical Engineering, Shaanxi Normal University, Xi'an, Shaanxi 710062, China.

Keywords

External Resources

Popular Topics
Recent Journals