I'm currently a sophomore in college and pretty new to the field of research. I'm currently working on an existing algorithm for MRI de-noising and the results are nothing that great. I can't see how I can improve the results.
I've tried a few different tweaks and played with the code and parameters for sometime now. I also saw some papers on using neural networks for image de-noising as well.
I'm thinking of trying the same but I don't know if it makes sense to use neural networks on an already existing algorithm. Won't the neural network overpower my algorithm and all the results be based on it only? So if I use a pre-existing MatLab filter and use neural networks in it, will it differ much if I first use my algorithm and then use neural networks in it?
I have little experience with machine learning and hope that I made sense in my question. Any kind of help will be appreciated. Thanks.