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License: MIT License
CS-Net (MICCAI 2019) and CS2-Net (MedIA 2020)
License: MIT License
from utils.misc import thresh_OTSU, ReScaleSize, Crop
ModuleNotFoundError: No module named 'utils.misc'
您好!在MIA上的CS-Net中的3D网络在3个数据集上进行评估,但是文中提供的MIDAS数据集的链接已失效,不能下载数据,请问是否可以提供新的链接,或者通过其他方式共享一下数据集。
刚刚接触血管分割方向,一直没有数据集,希望您可以帮助一下,非常感激!
Why is it nan when I use CS2Net to calculate it?
Line 128 in train.py. Whether the return should cancel indentation?
ChannelAttentionBlock函数部分的代码不能理解,还请作者答疑解惑。
困惑的代码为
affinity = torch.matmul(proj_query, proj_key)
affinity_new = torch.max(affinity, -1, keepdim=True)[0].expand_as(affinity) - affinity
affinity_new = self.softmax(affinity_new)
为什么要减去affinity得到affinity_new?这样做不就使得affinity低的channel获得更高的权重吗?这不就与原本的目的背道而驰了吗?
您的文章里也并没有详细说明这一个运算的意义,所以本人无法理解该部分代码。
还请作者指点迷津。
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