MR-based synthetic CT image for intensity-modulated proton treatment planning of nasopharyngeal carcinoma patients.

Shupeng Chen,Yinglin Peng,An Qin,Yimei Liu,Chong Zhao,Xiaowu Deng,Rohan Deraniyagala,Craig Stevens,Xuanfeng Ding

Acta oncologica (Stockholm, Sweden)（2022）

引用 3|浏览21

暂无评分

摘要

The SCT images generated using GANs achieved clinical acceptable dosimetric accuracy for IMPT of NPC patients. Using advanced DCNN architecture design, such as residual connections and attention mechanism, SCT image quality was further improved and resulted in a small dosimetric improvement.

查看译文

关键词

Machine learning,deep learning,nasopharyngeal carcinoma,proton beam therapy

AI 理解论文

溯源树

样例

生成溯源树，研究论文发展脉络

Chat Paper

正在生成论文摘要