Synthetic contrast-enhanced computed tomography generation using a deep convolutional neural network for cardiac substructure delineation in breast cancer radiation therapy: a feasibility study

HIGHLIGHTS

• who: Jaehee Chun from the (UNIVERSITY) have published the article: Synthetic contrast-enhanced computed tomography generation using a deep convolutional neural network for cardiac substructure delineation in breast cancer radiation therapy: a feasibility study, in the Journal: (JOURNAL)
• what: The authors aimed to generate synthetic contrast-enhanced CT (SCECT) from NCT using a deep convolutional neural_network (DCNN) for cardiac substructure delineation in breast cancer RT. The authors intended to leverage DL to generate SCECT from NCT and verify its manifold utility. The authors intended to distinguish cardiac substructures through SCECT and analyze the dose-volume . . .
  

   

  

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