Let assume that I have two series of slices each series from a different medical imaging modality for the same organ but the overall shape of these two is not the same shape, one of them as a circle and the other as Oval.
let assume the first imaging modality is DynaCT and the other one is CT.
and we have a region of interest (ROI) in both of them which is the identify the similarity between them.
my questions are:
How we can fuse these two series using Convolutional neural networks(CNNs)?
Is there any article about that or similar work?
You can use Octave Convolutional Neural Networks. Just feed in the images simultaneously on both the inputs of the Octave and you might achieve what you require.
This is an article explaining octave architecture.
Preprint A Fast Fully Octave Convolutional Neural Network for Documen...
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