ardamavi / 3d-medical-segmentation-gan Goto Github PK

Thanks your sharing! I am a newbee to process the medical images. Do you try the method on MRI data, i want to run the code on MRI(.nii), but i don not know how to modify your get_dataset.py. I'd appreciate it if you could give me a little guidance or advice~

Hi,

There are these two packages in the requirements:
pydicom
dicom-numpy

Since you have used python 3 and anaconda, I am wondering how you found them in anaconda. When I look for them, I find no available packages.

Thanks,
Amirtahà

` # Discriminator Training:
for i in range(int(batch_num/4)):
# Getting generated data:
getted_generator_data = next(data_generator)
generator_pred = Generator.predict(getted_generator_data[0])

        # Getting real data:
        getted_real_data = next(data_generator)`

As seen above, the real data is got by "getted_real_data = next(data_generator)". I'm confusing about the operation. Can you give me a detail explanation of it? Thank you~

您好，我想在MRI（.nii）上运行代码，但我不知道如何修改您的get_dataset.py。如果您能给我一些指导或建议，我将不胜感激

i hae a data set of 2d images and i would like to segment it by using GAN , what should i change to make it work on 2d