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Potential of deep learning in assessing pneumoconiosis depicted on digital chest radiography.

Xiaohua WangJuezhao YuQiao ZhuShuqiang LiZanmei ZhaoBohan YangJiantao Pu
Published in: Occupational and environmental medicine (2020)
Our experimental results demonstrated that the deep leaning solution could achieve a relatively better performance in classification as compared with other models and the certified radiologists, suggesting the feasibility of deep learning techniques in screening pneumoconiosis.
Keyphrases
  • deep learning
  • artificial intelligence
  • convolutional neural network
  • machine learning
  • image quality
  • magnetic resonance imaging
  • magnetic resonance
  • cone beam computed tomography