ROI-Guided Swin-Transformer Deep Learning Network for Improved Proton Dose Calculation In CBCT-Based Adaptive Proton Therapy
Daily cone-beam CT (CBCT) is widely used in adaptive proton therapy; however, scatter artifacts can degrade image quality and introduce proton dose calculation inaccuracies. We developed a region-of-interest (ROI)–guided Swin-Transformer deep learning (DL) ne...
Poster Program · Therapy Physics