A ℓ norm regularized multi-kernel learning for false positive reduction in Lung nodule CAD.

Journal: Computer methods and programs in biomedicine
Published Date: Dec 15, 2016

Abstract

OBJECTIVE: The aim of this paper is to describe a novel algorithm for False Positive Reduction in lung nodule Computer Aided Detection(CAD).

Authors

  • Peng Cao
    Medical Image Computing Laboratory of Ministry of Education, Northeastern University, 110819, Shenyang, China.
  • Xiaoli Liu
    Neurology Department, Zhejiang Hospital, Zhejiang 310013, China.
  • Jian Zhang
    College of Pharmacy, Ningxia Medical University, Yinchuan, NingxiaHui Autonomous Region, China.
  • Wei Li
    Department of Nephrology, The Second Affiliated Hospital of Guangxi Medical University, Nanning, Guangxi, China.
  • Dazhe Zhao
    Medical Image Computing Laboratory of Ministry of Education, Northeastern University, 110819, Shenyang, China.
  • Min Huang
    Department of Physiology, School of Basic Medicine, Chengdu Medical College, Sichuan, China.
  • Osmar Zaiane
    Computing Science, University of Alberta, Edmonton, Alberta, Canada.

Keywords

External Resources

Popular Topics
Recent Journals