Combining radiomics and deep learning features of intra-tumoral and peri-tumoral regions for the classification of breast cancer lung metastasis and primary lung cancer with low-dose CT.

Abstract

Authors

• Lei Li
  Department of Thoracic Surgery, The Affiliated Huaian No.1 People's Hospital of Nanjing Medical University, Huai'an, China.
• Xinglu Zhou
  Department of PET/CT Center, Harbin Medical University Cancer Hospital, Harbin, 150081, China.
• Wenju Cui
  School of Biomedical Engineering (Suzhou), University of Science and Technology of China, Division of Life Sciences and Medicine, Hefei, 230026, Anhui, China.
• Yingci Li
  Center of PET/CT, The Third Affiliated Hospital of Harbin Medical University, The Affiliated Tumor Hospital of Harbin Medical University, Harbin, China.
• Tianyi Liu
  Department of Epidemiology and Biostatistics, School of Public Health, Capital Medical University, Beijing, China.
• Gang Yuan
  School of Biomedical Engineering (Suzhou), Division of Life Sciences and Medicine, University of Science and Technology of China, Hefei, 230022, China; Suzhou Institute of Biomedical Engineering and Technology, Chinese Academy of Sciences, Suzhou, 215163, China. Electronic address: yuangang@sibet.ac.cn.
• Yunsong Peng
• Jian Zheng
  Biospheric Assessment for Waste Disposal Team, National Institute of Radiological Sciences, National Institutes for Quantum and Radiological Science and Technology, 4-9-1 Anagawa, Inage, Chiba 263-8555, Japan; Fukushima Project Headquarters, National Institute of Radiological Sciences, National Institutes for Quantum and Radiological Science and Technology, 4-9-1 Anagawa, Inage, Chiba 263-8555, Japan. Electronic address: zheng.jian@qst.go.jp.

Keywords

External Resources