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有关于 LI 数据的问题 #12

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maple-hub opened this issue Dec 20, 2023 · 1 comment
Open

有关于 LI 数据的问题 #12

maple-hub opened this issue Dec 20, 2023 · 1 comment

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@maple-hub
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216161703083670_ pic
你好这是我使用您的公开数据集收集的LI_CT 和 Xma 的评价指标,和论文中的有不小的差距,请问这个可能会是什么原因导致的。

@hongwang01
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image 216161703083670_ pic 你好这是我使用您的公开数据集收集的LI_CT 和 Xma 的评价指标,和论文中的有不小的差距,请问这个可能会是什么原因导致的。

你好,感谢对我们工作关注。结合你的问题,建议从以下几点check:

  1. 数据保存处理:https://github.com/hongwang01/InDuDoNet/blob/main/test_deeplesion.py
  2. PSNR/SSIM计算方式: https://github.com/hongwang01/RCDNet/tree/master/Performance_evaluation
  3. 如论文所澄清,LI,NMAR以及CNNMAR我们使用的是,CNNMAR开源包里面的结果

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