Comments (1)
Hi @runslowly, thank you for your interest in DeepDRR. The easiest way to accomplish what you want is to segment the image separately, either using DeepDRR's segmentation V-Net (built-in) or with TotalSegmentator. You can then add the thresholded segmentation of gold, being sure to mask out the corresponding regions in the NN's segmentation. Pass this into the Volume
class manually as a dict mapping material name to boolean numpy arrays. If you fork DeepDRR, you can add the coefficients for gold to the material_coefficients.py
file in deepdrr/projector
.
from deepdrr.
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