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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!
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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
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.
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!
The text was updated successfully, but these errors were encountered: