Deep learning-based framework for segmentation of multiclass rib fractures in CT utilizing a multi-angle projection network.

Journal: International journal of computer assisted radiology and surgery
Published Date:

Abstract

PURPOSE: Clinical rib fracture diagnosis via computed tomography (CT) screening has attracted much attention in recent years. However, automated and accurate segmentation solutions remain a challenging task due to the large sets of 3D CT data to deal with. Down-sampling is often required to face computer constraints, but the performance of the segmentation may decrease in this case.

Authors

  • Yuan Gao
    Engineering Research Center of EMR and Intelligent Expert System, Ministry of Education, Collaborative Innovation Center for Diagnosis and Treatment of Infectious Diseases, College of Biomedical Engineering and Instrument Science, Zhejiang University, Hangzhou Zhejiang Province, China.
  • Han Chen
    School of Statistics, University of Minnesota at Twin Cities.
  • Rongjun Ge
    Laboratory of Image Science and Technology, School of Computer Science and Engineering, Southeast University, Nanjing, China; Key Laboratory of Computer Network and Information Integration (Southeast University), Ministry of Education, Nanjing, China; Centre de Recherche en Information Biomedicale Sino-Francais (LIA CRIBs), Rennes, France.
  • Zhan Wu
    School of Cyberspace Security, Southeast University, Nanjing, Jiangsu, China.
  • Hui Tang
    Department of Pharmacy, The Affiliated Hospital of Southwest Medical University, Luzhou, China.
  • Dazhi Gao
    Department of Marine Technology, Ocean University of China, Qingdao 266100, China.
  • Xiaoli Mai
    Department of Radiology, Nanjing Drum Tower Hospital, The Affiliated Hospital of Nanjing University Medical School, Nanjing, 210008, China.
  • Libo Zhang
    Faculty of Metallurgical and Energy Engineering, Kunming University of Science and Technology Kunming 650093 China hyxia@kust.edu.cn zhanglibopaper@126.com.
  • Benqiang Yang
  • Yang Chen
    Orthopedics Department of the First Affiliated Hospital of Tsinghua University, Beijing, China.
  • Jean-Louis Coatrieux