Improving CBCT image quality to the CT level using RegGAN in esophageal cancer adaptive radiotherapy
ConclusionThe proposed deep-learning RegGAN model seems promising for generation of high-quality sCT images from stand-alone thoracic CBCT images in an efficient way and thus has the potential to support CBCT-based esophageal cancer adaptive radiotherapy.
Source: Strahlentherapie und Onkologie - Category: Cancer & Oncology Source Type: research
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