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Using clearer images to replace denoised data in a Multi-Stage Training Process #36

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hhhhio opened this issue Jul 3, 2024 · 1 comment

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@hhhhio
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hhhhio commented Jul 3, 2024

Hello,I understand that the first stage involves generating data using a denoising model, which results in data lacking medical details. However, if I have a set of corresponding clearer images for the data used in training, can I replace the first stage generated data with these clearer images? If so, would this be beneficial for the subsequent second and third stages?

Thanks!

@hhhhio hhhhio changed the title Using Clearer Images to Replace Denoised Data in a Multi-Stage Training Process Using clearer images to replace denoised data in a Multi-Stage Training Process Jul 3, 2024
@tiangexiang
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Yes, clearer images are definitely helpful. However, we need a noise model to be used to estimate the 'state' as in Stage 2. If there is no denoising process in Stage 1 (and no noise model as a result), stage2 is not able to proceed.

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