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Siyuan Liu1, Kim-Han Thung1, Liangqiong Qu1
1Department of Radiology and Biomedical Research Imaging Center (BRIC), University of North Carolina at Chapel Hill, Chapel Hill, NC, USA.
本研究引入了一种使用机器学习与未配对数据进行回顾性文物校正 (RAC) 的新方法. 这种方法有效地删除图像文物,而不需要匹配的损坏和清洁的图像对.
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