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A PyTorch implementation for V-Net: Fully Convolutional Neural Networks for Volumetric Medical Image Segmentation

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没太搞懂作者的思路,能不能进行一些补充。我这训练还没开始,CPU内存就炸了

when I prepare a train data,it always show: ![image](https://user-images.githubusercontent.com/20347413/78063066-2e8c0780-73c2-11ea-8524-0080f5030e1a.png) ![image](https://user-images.githubusercontent.com/20347413/78063028-20d68200-73c2-11ea-8134-83d70d54b0f0.png)

Hi, I can't run through your ContBatchNorm2d code. It returns to me an error about "AttributeError: 'super' object has no attribute '_check_input_dim'". I want to know why you write code...

Here in line 106: https://github.com/mattmacy/vnet.pytorch/blob/a00c8ea16bcaea2bddf73b2bf506796f70077687/vnet.py#L106 Should it be ```xcat = self.ops(xcat)``` instead? Thank you in advance!

Awesome and huge work, thank you a lot. I understand that original paper author confused you with network structure diagram (me too actually), but your implementation also have your own...

When I tried to install torchbiomed by used ‘pip install torchbiomed’ command,System report this error ` ERROR: Could not find a version that satisfies the requirement torchbiomed (from versions: none)...

when I use pip -r requirements.txt,a question as follow: ERROR: No matching distribution found for torchbiomed (from -r requirements.txt (line 4))