Automatic lung nodule detection using a 3D deep convolutional neural network combined with a multi-scale prediction strategy in chest CTs.

Abstract

Authors

• Yu Gu
  Microsoft Research, Redmond, WA, USA.
• Xiaoqi Lu
  School of Computer Engineering and Science, Shanghai University, Shanghai, 200444, China; Inner Mongolia Key Laboratory of Pattern Recognition and Intelligent Image Processing, School of Information Engineering, Inner Mongolia University of Science and Technology, Baotou, 014010, China. Electronic address: lxiaoqi@imut.edu.cn.
• Lidong Yang
  Inner Mongolia Key Laboratory of Pattern Recognition and Intelligent Image Processing, School of Information Engineering, Inner Mongolia University of Science and Technology, Baotou, 014010, China.
• Baohua Zhang
  Inner Mongolia Key Laboratory of Pattern Recognition and Intelligent Image Processing, School of Information Engineering, Inner Mongolia University of Science and Technology, Baotou, 014010, China.
• Dahua Yu
  Inner Mongolia Key Laboratory of Pattern Recognition and Intelligent Image Processing, School of Information Engineering, Inner Mongolia University of Science and Technology, Baotou, 014010, China.
• Ying Zhao
  Department of Pharmacy, Union Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China.
• Lixin Gao
  Inner Mongolia Key Laboratory of Pattern Recognition and Intelligent Image Processing, School of Information Engineering, Inner Mongolia University of Science and Technology, Baotou, 014010, China; School of Foreign Languages, Inner Mongolia University of Science and Technology, Baotou, 014010, China.
• Liang Wu
  Clinical and Research Center of AIDS, Beijing Ditan Hospital, Capital Medical University, Beijing, China.
• Tao Zhou
  Department of Otorhinolaryngology, Union Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, Hubei, China.

Keywords

External Resources