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机译:使用深度学习和图像登记进行强大的轮廓传播,用于在线自适应质子治疗前列腺癌
Division of Image ProcessingLeiden University Medical Center2300 RC Leiden The Netherlands;
Erasmus MC Cancer InstituteRotterdam The Netherlands;
Department of Radiation OncologyLeiden University Medical Center2300 RC Leiden The Netherlands;
Division of Image ProcessingLeiden University Medical Center2300 RC Leiden The Netherlands;
Division of Image ProcessingLeiden University Medical Center2300 RC Leiden The Netherlands;
Division of Image ProcessingLeiden University Medical Center2300 RC Leiden The Netherlands;
Division of Image ProcessingLeiden University Medical Center2300 RC Leiden The Netherlands;
Erasmus MC Cancer InstituteRotterdam The Netherlands;
Department of Radiation OncologyLeiden University Medical Center2300 RC Leiden The Netherlands;
Erasmus MC Cancer InstituteRotterdam The Netherlands;
Division of Image ProcessingLeiden University Medical Center2300 RC Leiden The Netherlands;
convolutional neural networks (CNN); deformable image registration; distended rectum; generative adversarial network (GAN); prostate cancer; proton therapy;
机译:使用深度学习和图像登记进行强大的轮廓传播,用于在线自适应质子治疗前列腺癌
机译:前列腺癌放疗中从CT到锥束CT扫描的轮廓传播的可变形图像配准。
机译:使用变形图像配准在前列腺癌放射治疗中靶标和器官的风险轮廓的传播。
机译:前列腺癌在线自适应质子治疗的多指标配准评估
机译:使用可变形配准的图像引导放射治疗对前列腺癌剂量分布的影响。
机译:评估在在线适应强度调制质子治疗前列腺癌中的自动轮廓传播的开源登记套装
机译:可变形图像配准鲁棒性对头部和颈部自适应放射疗法的轮廓繁殖和剂量积累的影响