Hi, I tried to apply it in my own CT low-dose data, but it didn't work well. The yaml file I use is 'the unit_noise2clear-poisson.yaml'. Is the right parameters you use in the low-dose CT?

Wenchao-Du / LIR-for-Unsupervised-IR

This is an implementation for the CVPR2020 paper "Learning Invariant Representation for Unsupervised Image Restoration"

https://arxiv.org/pdf/2003.12769.pdf

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Hi, I tried to apply it in my own CT low-dose data, but it didn't work well. The yaml file I use is 'the unit_noise2clear-poisson.yaml'. Is the right parameters you use in the low-dose CT? #5

Open chris1992212 opened 4 years ago

Wenchao-Du commented 2 years ago

For LDCT denoising, you could use the unit_noise2clear-bn.yaml in configs. In fact, there is few differences in config file for different task training.

s0966066980 commented 2 years ago

Could you please tell me the data set configuration of your LDCT and Reference? Because the effect after my training is not good