How to add a channel layer for a 3D image for 3D CNN
I am working on a medical dataset of 3d images the shapeimage.shape gives me (512,512,241) I assume it is height , width, depth but when I run 3D cnn i get this error Given groups=1, weight of size [32, 3, 3, 3, 3], expected input[1, 1, 241, 512, 512] to have 3 channels, but got 1 channels instead. what should be done? I am using pytorch.
Thank you in advance.

Your network expects each slice of the 3d volume to have three channels (RGB). You can simply convert grayscale (single channel) data to &quot;fake&quot; RGB by duplicating the single channel you have:
x_gray = ...  # your tensor of shape batch-1-241-512-512
x_fake_rgb = x_gray.expand(-1, 3, -1, -1, -1)

See expand for more details.
