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YipengHu / label-reg

(This repo is no longer up-to-date. Any updates will be at https://github.com/DeepRegNet/DeepReg/) A demo of the re-factored label-driven registration code, based on "Weakly-supervised convolutional neural networks for multimodal image registration"
Apache License 2.0
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training for larger deformations on 2D Mul-Models datasets #17

Closed gaohuiluo closed 5 years ago

gaohuiluo commented 5 years ago

thanks for your open-source code! I'm a first-year graduate students from china. I'd like to try this approach on 2D Mul-Models datasets(image type is .tif and .jpg), and my label is .mhd/.raw (NDims=3) ,may you give me some advise?

YipengHu commented 5 years ago

Hi, Currently, it does not support 2D data. However, I can't see why this will not be straightforward by changing the conv, pool, resampler, among other 3D-specific functions, to 2D.

On Thu, 28 Mar 2019 at 14:05, Galvin notifications@github.com wrote:

thanks for your open-source code! I'm a first-year graduate students from china. I'd like to try this approach on 2D Mul-Models datasets(image type is .tif and .jpg), and my label is .mhd/.raw (NDims=3) ,may you give me some advise?

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