LNAS: a clinically applicable deep-learning system for mediastinal enlarged lymph nodes segmentation and station mapping without regard to the pathogenesis using unenhanced CT images.

Journal: La Radiologia medica
Published Date:

Abstract

BACKGROUND: The accurate identification and evaluation of lymph nodes by CT images is of great significance for disease diagnosis, treatment, and prognosis.

Authors

  • Yang Cao
    Tianjin Institute of Health & Environmental Medicine, 1 Dali Road, Heping District, Tianjin, 300050, China.
  • Jintang Feng
    Department of Radiology, Tianjin Medical University General Hospital, Tianjin, 300052, China.
  • Cheng Wang
    Department of Pathology, Dalhousie University, Halifax, NS, Canada.
  • Fan Yang
    School of Electrical Engineering and Automation, Jiangsu Normal University, Xuzhou, China.
  • Xiaomeng Wang
    Department of Radiology, Tianjin Medical University General Hospital, Tianjin, 300052, China.
  • Jingxu Xu
    Department of Research Collaboration, R&D Center, Beijing Deepwise & League of PHD Technology Co., Ltd., Beijing, China.
  • Chencui Huang
    Department of Research Collaboration, R&D Center, Beijing Deepwise & League of PHD Technology Co., Ltd., Beijing, China.
  • Shu Zhang
    State University of New York, Department of Radiology, Stony Brook, New York, United States.
  • Zihao Li
    School of Mechanical Engineering and Automation, Harbin Institute of Technology(Shenzhen), Shenzhen, 518055, China.
  • Li Mao
    Deepwise AI Lab, Deepwise Inc, No.8 Haidian avenue, Sinosteel International Plaza, Beijing, 100080, China.
  • Tianzhu Zhang
    University of Science and Technology of China, No.96 JinZhai Road, Hefei, Anhui, 230026, PR China. Electronic address: tzzhang@ustc.edu.cn.
  • Bingzhen Jia
    Department of Radiology, Tianjin Medical University General Hospital, Tianjin, 300052, China.
  • Tongli Li
    Department of Radiology, Tianjin Medical University General Hospital, Tianjin, 300052, China.
  • Hui Li
    Department of Ophthalmology, Beijing Hospital, National Center of Gerontology, Institute of Geriatric Medicine, Chinese Academy of Medical Sciences, Beijing, China.
  • Bingjin Zhang
    Department of Radiology, Qilu Hospital (Qingdao), Cheeloo College of Medicine, Shandong University, Jinan, Shandong, China.
  • Hongmei Shi
    Department of Radiology, Qilu Hospital (Qingdao), Cheeloo College of Medicine, Shandong University, Jinan, Shandong, China.
  • Dong Li
    Department of Cardiovascular Medicine, Lanzhou University Second Hospital, 730030 Lanzhou, Gansu, China.
  • Ningnannan Zhang
    Department of Radiology, Tianjin Medical University General Hospital, Tianjin, 300052, China.
  • Yizhou Yu
    Department of Computer Science, The University of Hong Kong, Pok Fu Lam, Hong Kong.
  • Xiangshui Meng
    Department of Radiology, Qilu Hospital (Qingdao), Cheeloo College of Medicine, Shandong University, Jinan, Shandong, China.
  • Zhang Zhang
    c BIG Data Center, Beijing Institute of Genomics (BIG) , Chinese Academy of Sciences , Beijing , China.