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View Code? Open in Web Editor NEWImplementation of "Improving robustness of medical image diagnosis with denoising convolutional neural networks" in MICCAI2019
Implementation of "Improving robustness of medical image diagnosis with denoising convolutional neural networks" in MICCAI2019
作者您好,我在利用胸腔数据集对resnet18进行鲁棒训练之后,复现结果的时候发现精度只有58%,没有达到论文中提到的71.21%
我不确定是数据集的问题(由于用于竞赛的胸腔数据集测试集标签无法得到,我选择将原本的训练集按照论文中的比例,随机划分成20000张用于训练,5700张用于测试)还是参数设置问题(鲁棒训练过程中,添加参数为0.2的高斯噪声,生成对应3张噪声图片进行训练)。
请问您还记得具体参数的设置吗,能够给予一点指导,谢谢!
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