A 4D-CBCT correction network based on contrastive learning for dose calculation in lung cancer
This study aimed to present a deep-learning network called contrastive learning-based cycle generative adversarial networks (CLCGAN) to mitigate streak artifacts and correct the CT value in four-dimensional co...
Source: Radiation Oncology - Category: Cancer & Oncology Authors: Nannan Cao, Ziyi Wang, Jiangyi Ding, Heng Zhang, Sai Zhang, Liugang Gao, Jiawei Sun, Kai Xie and Xinye Ni Tags: Research Source Type: research
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