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yhygao / focusnet-v2

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Question on Data Processing #5

Open mahfuzalhasan opened 1 year ago

mahfuzalhasan commented 1 year ago

Hello, I have question. In brain_dataset.py, image was shifted and then normalized: npImg = (npImg+100) / 1000 Why did you do this specifically?

In my dataset, lowest value= -160 and highest value= +240 and data are 16bit Signed Int Format So should I do this then, npImg = (npImg+160)/240. After that, data remains in the range of 0-400 and its 16bit int. I am converting those data into 8 bit and then feeding it to network. Did you face this issue, or your data was always in unsigned 8-bit format (uint8)?

yhygao commented 1 year ago

Hi, Thank you for your interest in our work. Yes, this is a preprocessing step to normalize the image. Basically, it normalizes the value of the region of interest to [0, 1]. So I recommend you check the min and max values of the target region in your dataset for normalization. Don't cast 16-bit int into 8-bit, as it will lose information due to precision. Cast the 16-bit int into float32 directly as the input of the network.