3D convolution, de-convolution layers in Flux for training 3D MRI data

question
flux

#1

Are there 3D convolution, de-convolution layers in Flux.jl?
Or is there any implementation that can be used with Flux.jl?

To elaborate I have 3D greyscale images (MRI scans), i.e. each voxel value is a number. Now is there convolutional layer that can accept this kind of input?


#2

** EDIT: I misread this issue on the GitHub repo. As Azamat explains below, Flux.jl does support 3D convolution. **


#3

Flux does support convolution layers for 3D MRI. It does not support dimensions higher than 3 yet.