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Interactive Segmentation of Lung Tissue and Lung Excursion in Thoracic Dynamic MRI Based on Shape-guided Convolutional Neural Networks.

Lipeng XieJayaram K UdupaYubing TongJoseph M McDonoughPatrick J CahillJason B AnariDrew A Torigian
Published in: medRxiv : the preprint server for health sciences (2024)
The proposed approach can be applied to lung tissue and lung excursion segmentation from dynamic MR images with high accuracy and efficiency. The proposed approach has the potential to be utilized in the assessment of patients with TIS via dMRI routinely.
Keyphrases
  • convolutional neural network
  • deep learning
  • contrast enhanced
  • magnetic resonance imaging
  • magnetic resonance
  • machine learning
  • computed tomography
  • optical coherence tomography