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Agile convolutional neural network for pulmonary nodule classification using CT images.

Xinzhuo ZhaoLiyao LiuShouliang QiYueyang TengJianhua LiWei Qian
Published in: International journal of computer assisted radiology and surgery (2018)
This competitive performance demonstrates that our proposed CNN framework and the optimization strategy of the CNN parameters are suitable for pulmonary nodule classification characterized by small medical datasets and small targets. The classification model might help diagnose and treat pulmonary nodules effectively.
Keyphrases
  • convolutional neural network
  • deep learning
  • pulmonary hypertension
  • machine learning
  • healthcare
  • image quality
  • positron emission tomography
  • magnetic resonance
  • optical coherence tomography