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I use min-max normalization (max=2000HU,min=-1000HU) during training. After training you can use pred_clip=torch.clip(pred*3000-1000,-160,240) to clip the image into the abdominal window of [-160,240]HU.
How to adjust the window width and position of the resulting image after training?
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