Hi, im doing a convolutional Neural Newtork in R code for Parkinson Disease/Control by using MRI.

Someone know whats the better architecture for this type of model?

Thanks & best regards.

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trajo123 t1_ja3lwj9 wrote on February 26, 2023 at 4:27 PM

The architecture depends on what task you want to solve: classification, semantic segmentation, detection/localization?

On another note, by choosing to do deep learning on image-like data such as MRI in R you are making your job more difficult from the get-go as there are many more tool and documentation resources available for Python.

Electronic-Clerk868 OP t1_ja9uexo wrote on February 27, 2023 at 10:11 PM

classification, between subjects with Parkinson Disease/Control

bigfoot1144 t1_ja3xywq wrote on February 26, 2023 at 5:46 PM

Why are you doing it in R? Not saying you shouldn't but it's much harder than in python. If you're doing it as a learning exercise that is fair enough.

jazzzzzzzzzzzzzzzy t1_ja3yg3d wrote on February 26, 2023 at 5:49 PM

Why R? It seems you want to make things hard for yourself. Just use PyTorch.

Schlonksi t1_ja4v96x wrote on February 26, 2023 at 9:25 PM

>im doing a convolutional Neural Newtork in R code

Why on earth would you do that? Why are you even implementing your own new if you're just using a vanilla CNN?

I_will_delete_myself t1_ja6e9do wrote on February 27, 2023 at 4:25 AM

Dude this is like saying you are trying to build a ship with a rubber duckey. Use the right tools.