xmengli / H-DenseUNet

TMI 2018. H-DenseUNet: Hybrid Densely Connected UNet for Liver and Tumor Segmentation from CT Volumes
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What was the process to get 224x224xz image shapes? #14

Open medbib opened 5 years ago

medbib commented 5 years ago

Hello, First thank you for this very interesting article and the code you give. I have some questions about how you get this shape of 224x224x12. Could you please clarify on what is the preprocessing done on the original images? In other words the original are of shape 512x512xz, did you do a resampling before/after the ResNet to get 224x224xz? After getting the masks from the ResNet, if I understand well you crop and keep only the region of interest containing Liver by looking to the mask predicted. Are you then taking patched volumes of dimension 12 along z ? Do all the 12 slices of each patched volume contain at least one pixel corresponding to the leaver ? Thank you for your help.