[WIP] Adding Stain Normalization Transform for Pathology#1998
[WIP] Adding Stain Normalization Transform for Pathology#1998nsrivathsa wants to merge 36 commits intoProject-MONAI:devfrom
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Signed-off-by: Neha Srivathsa <[email protected]>
bhashemian
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Well done, @nsrivathsa! I left few comments inline.
In general, can you think of edge cases in physical world for test cases as well, like the situation that we expect to have only one stain so the concentration of the other one is zero.
Also it would be great to have input images that are not uniformly filled.
Keep in mind that writing solid unittests are very important to ensure the correctness of our code and it might take more time than implementing the original functions and classes.
Signed-off-by: Neha Srivathsa <[email protected]>
Signed-off-by: Neha Srivathsa <[email protected]>
Signed-off-by: Neha Srivathsa <[email protected]>
Signed-off-by: Neha Srivathsa <[email protected]>
Signed-off-by: Neha Srivathsa <[email protected]>
Signed-off-by: Neha Srivathsa <[email protected]>
Signed-off-by: Neha Srivathsa <[email protected]>
Signed-off-by: Neha Srivathsa <[email protected]>
Signed-off-by: Neha Srivathsa <[email protected]>
Signed-off-by: Neha Srivathsa <[email protected]>
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@nsrivathsa I see that lines 47-75 for stain extraction are being repeated in line 143-171 for stain normalization. Can you modify the code so that it reuses stain extraction in stain normalization? |
Signed-off-by: Neha Srivathsa <[email protected]>
Signed-off-by: Behrooz <[email protected]>
Signed-off-by: Neha Srivathsa <[email protected]>
Signed-off-by: Behrooz <[email protected]>
Signed-off-by: Behrooz <[email protected]>
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Signed-off-by: Behrooz <[email protected]>
Signed-off-by: Behrooz <[email protected]>
Signed-off-by: Neha Srivathsa <[email protected]>
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/build |
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A variant of this PR is merged. |
Description
Adds a Transform for CuPy-based Stain Normalization for Pathology.
Status
Work in progress
Types of changes
./runtests.sh -f -u --net --coverage../runtests.sh --quick --unittests.make htmlcommand in thedocs/folder.