medical-imaging

In augmentation, elastic_transform, it only applies a random transform on one input image array. I would think to be used for training, the image and mask pair should be transform in the same way. However, this single-input-image, single-output-image method makes it very inconvenient. Could we deform a list of images (np.arrays) using the same transformation in this method ? Thanks!

Split itkHausdorffDistanceImageFilterTest to the corresponding classes unit tests

Description

The classes ``itk::HausdorffDistanceImageFilteranditk::DirectedHausdorffDistanceImageFilter` are tested in the same [`itkHausdorffDistanceImageFilterTest.cxx](itk::https://github.com/InsightSoftwareConsortium/ITK/blob/master/Modules/Filtering/DistanceMap/test/itkHausdorffDistanceImageFilte

There are many transformations, such as transforms.Resample and transforms.ElasticTransform that aren't documented (with the Sphinx format).

It seems like a slight pain to do this, but it might be useful to have a GitHub action generate HTML GoDoc on PRs / code pushes, so that reviewers can easily preview what the GoDoc will look like.

It looks like the easiest way to do this is with wget sadly (if you want all the nice styles and such applied in the html).