A survey of pulmonary nodule detection, segmentation and classification in computed tomography with deep learning techniques

@article{Wu2019ASO,
  title={A survey of pulmonary nodule detection, segmentation and classification in computed tomography with deep learning techniques},
  author={Jianrong Wu and Tianyi Qian},
  journal={Journal of Medical Artificial Intelligence},
  year={2019}
}
  • Jianrong Wu, Tianyi Qian
  • Published 19 April 2019
  • Medicine, Computer Science
  • Journal of Medical Artificial Intelligence
Lung cancer is the top cause for deaths by cancers whose 5-year survival rate is less than 20%. To improve the survival rate of patients with lung cancers, the early detection and early diagnosis is significant. Furthermore, early detection of pulmonary nodules is essential for the detection and diagnosis of lung cancer in early stage. The National Lung Screening Trial (NLST) showed annual screening by low-dose computed tomography (LDCT) could help to reduce the deaths caused by lung cancer of… 

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