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MSTS-Net: malignancy evolution prediction of pulmonary nodules from longitudinal CT images via multi-task spatial-temporal self-attention network.

Ping SongJiaxin HouNing XiaoJun ZhaoJuanjuan ZhaoYan QiangQianqian Yang
Published in: International journal of computer assisted radiology and surgery (2022)
In the computer-aided prediction of the malignant evolution of pulmonary nodules, combining the characteristics of the temporal dimension of pulmonary nodules with CT data can effectively improve the accuracy of prediction. The MSTS-Net we developed has high predictive value and broad prospects for clinical application.
Keyphrases
  • pulmonary hypertension
  • computed tomography
  • image quality
  • dual energy
  • deep learning
  • positron emission tomography
  • magnetic resonance imaging
  • cross sectional
  • big data
  • magnetic resonance
  • machine learning