zhongzisha / isbi2018_petct_segmentation Goto Github PK
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License: MIT License
is it possible for you to share the script of how you converted the raw image intensities to standardized uptake values (SUV) for PET images you mentioned in the paper you referenced (3D Alpha Matting Based Co-segmentation of Tumors on PET-CT Images) in the pre-processing section
Having looked into your code, I found that Conditional Random Field is also contained, but was not mentioned in your ISBI paper. And the function crfrnn3d is absent. Does CRF work? How is it implemented?
In this code, only the 3d unet is provided. What about the graph-based segmentation in reference [4]?
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