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!

The term it's can be found 171 times in ITK cxx, h, and hxx files. Check which of these instances should be changed to its. From InsightSoftwareConsortium/ITK#2996 (comment).

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).

Cancelling "Create new X as ..." dialogue creates new object with the default name (as if from "Create new X"), but clicking Cancel should not produce any object.
I think this happens in several modules, with different types of object, including Table and Volume.

Steps to reproduce

Invoke "Create new Table as ..." dialogue, such as for the Output table of the **Segment St