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stefanknegt / Probabilistic-Unet-Pytorch

A Probabilistic U-Net for segmentation of ambiguous images implemented in PyTorch
Apache License 2.0
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Preprocessing #8

Closed xrafael closed 4 years ago

xrafael commented 4 years ago

Hi #stefanknegt!

Thank you very much for your great job.

Could you please provide more information regarding the preprocessing step done in the provided data? Did you follow the same steps as in the original paper? LIDC has 1010 patients but I see in your datafile 875 unique ids. Did you make any additional filter? Also in your data, there are 15096 images, while in the paper they used 12874 (8882,1996,1996). Did you include more slices per nodule?

Best!

stefanknegt commented 4 years ago

There is a bit more information on preprocessing in this paper: https://arxiv.org/pdf/1907.01949.pdf.

I asked the authors of the original paper about the differences between the number of images and it seems they discard images in cases I do not. For instance when the dicom attribute SliceLocation differs from the absolute value of ImagePositionPatient[-1].