vnet.pytorch
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mattmacy
A PyTorch implementation for V-Net: Fully Convolutional Neural Networks for Volumetric Medical Image Segmentation
Hi, I was playing around with the code to better understand how things work. when i was trying to train the luna 16 images i keep getting the error 'axes...
Hi @mattmacy I was going through VNet paper ,if you see at end they have given table for receptive field for each stage. for example 1. stage 1 its 5x5x5...
Can dice loss be used for multi-class or rewriten for multi-class?
Hi; Is it required that the targets and labels need to be one hot encoded?
After the final upTransition, input is 32 channels and should be processed through the 1*1*1 filter directly according to the image. but you first process the input through the kernel(5*5*5)...
Hello, which file should this data set be placed in, thank you
