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That should vastly improve the efficiency of Vahadane algorithm when on-the-fly normalization is necessary for multiple iterations, e.g., for multiple epochs of downstream deep learning model training…
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The H component extraction codes are not found in the repo. Could you give us a link to the relevant code? Thanks very much!
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Could you offer a download link for the Kumar dateset?
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An improved Reinhard normalization technique was proposed in this paper:
https://ieeexplore.ieee.org/document/9616117
As the original Vahadane implementation is extremely slow compared to the alre…
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## Description
Setting `"normalizer"` to `"reinhard"` or `"augment"` might generate the following error. It is yet to be defined what other parameters/libraries versions/conditions have to be there f…
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We should have a class called ExpProtocol s.t.
`ExpProtocol([Algo1, Algo2, Algo3], Task, StrategyOfTaskVariantion) `can generate a plot where the x-coordinate is the degree of domain mixture or a c…
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Hi,
I am trying to run Macenko and Vahadane stain normalizer on my datasets.
The dataset has separate folders for I am trying to make the list of files, initialize the VahadaneStainNormalizer i…
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Reinhard color normalization is a commonly used method which is much faster than macenko and vahadane (see [here](https://github.com/andreped/fast-stain-normalization#result)). A drawback is that it i…
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I have been training a set of CT images (already pre-processed) with two classes in GaNDLF (0.16) on a NVidia 3090 24GB GPU. I think I have set all the settings and hyperparameters to demand the minim…
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As we have support for different backends, it would probably be a good idea to have unit tests to verify that we achieve the same results using the three different backends: pytorch, numpy, and tensor…