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medical-image-processing

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Jing-He
Jing-He commented Jul 25, 2018

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!

MONAI
tvercaut
tvercaut commented Mar 27, 2020

To help with community discussion and support, it would be good to point users towards preferred discussion channels. Note that this would be in support of more formal documentation (see #16).

Typically, bugs and feature requests would be going on the GitHub issue tracker but other means of supporting the discussion would be helpful.

For example, do we point users towards Stack Overflow for

CaPTk
omaghsoudi
omaghsoudi commented Mar 20, 2020

CaPTk feature extraction documentation is weak in my opinion. It is so hard to understand that feature have combined, individual, .....

Someone should sit and clarify the variables in another file or webpage, rather than briefly describing them in the parameter file that no-one can understand them. Please add some images to clarify what each of the parameters is supposed to do (at least major

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