A deep 3D residual CNN for false-positive reduction in pulmonary nodule detection.

Journal: Medical physics
Published Date:

Abstract

PURPOSE: The automatic detection of pulmonary nodules using CT scans improves the efficiency of lung cancer diagnosis, and false-positive reduction plays a significant role in the detection. In this paper, we focus on the false-positive reduction task and propose an effective method for this task.

Authors

  • Hongsheng Jin
    State Key Lab of CAD & CG, Zhejiang University, Hangzhou, 310027, China.
  • Zongyao Li
    Shanghai Jiao Tong University School of Medicine, Shanghai, China.
  • Ruofeng Tong
    State Key Lab of CAD & CG, Zhejiang University, Hangzhou, 310027, China.
  • Lanfen Lin
    State Key Lab of CAD & CG, Zhejiang University, Hangzhou, 310027, China.