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Lung cancer risk prediction models based on pulmonary nodules: A systematic review.

Zheng WuFei WangWei CaoChao QinXuesi DongZhuoyu YangYadi ZhengZilin LuoLiang ZhaoYiwen YuYongjie XuJiang LiWei TangSipeng ShenNing WuFeng-Wei TanNi LiJie He
Published in: Thoracic cancer (2022)
The existing models showed good discrimination for identifying high-risk pulmonary nodules, but lacked external validation. Deep learning algorithms are increasingly being used with good performance. More researches are required to improve the quality of deep learning models, particularly for the Asian population.
Keyphrases
  • deep learning
  • machine learning
  • pulmonary hypertension
  • artificial intelligence
  • convolutional neural network
  • clinical evaluation