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Implement transformations for Miccai 2D #21

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MrinalJain17 opened this issue Oct 17, 2020 · 0 comments
Closed
3 tasks done

Implement transformations for Miccai 2D #21

MrinalJain17 opened this issue Oct 17, 2020 · 0 comments

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@MrinalJain17
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MrinalJain17 commented Oct 17, 2020 •
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The transformations should be applied to both images and the masks (except like normalization)

  • Windowing: Use brain, bone, and soft tissue windowing as 3 stacked channels. Added in Implemented pytorch datasets and transforms for 2D Miccai #22
  • Normalization: Get normalized values corresponding to each windowing type. Done in commit d7996cc
  • Defaults: Implement some set of base/default transformations that can be used directly in a dataloader. Added a sample in commit 5538bc1. Other transformations can be experimented later, with a similar format.
MrinalJain17 added a commit that referenced this issue Oct 19, 2020
@MrinalJain17
Implemented pytorch datasets and transforms for 2D Miccai
17f4402 
- Implemented the pytorch dataset as discussed in #20
- Implemented the transforms (windowing as 3 separate channels) compatible with datasets as discussed in #21
- Changed how Miccai is converted and stored to 2D format. It's much more optimized for use with dataloaders now.
This was referenced Oct 19, 2020
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MrinalJain17 added a commit that referenced this issue Oct 20, 2020
@MrinalJain17
Added a basic transform as discussed in #21
5538bc1 
- More transforms can be experimented with later, and the format will essentially remain the same.
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