Comments (5)
I tried the 3D clDicel loss, compared to other loss trained model, this clDice loss model achieved the highest recall and lowest precision. Interesting! it is most of true positive and false positive has been segmented out!
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Good question. Sure you can by substituting pooling with 3d version and tweak minor parts. Contribution welcome!
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I think the pred contour can be get using sobel operator
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Dear community, after acceptance in CVPR 2021 we now offer an official 2D and 3D implementation of cldice at https://github.com/jocpae/clDice . Thanks a lot to @dmitrysarov for implementing cldice :)
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glad to help
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Related Issues (3)
- TensorFlow or Keras version HOT 8
- about cldice loss HOT 5
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