there is a fair deal of work around MRI segmentation using deep learning, as well as 1d cnn/rnn /sequence models for EEG event prediction

Dear Samet Çelik ,

Look the link, maybe useful.

https://www.nature.com/articles/s41593-019-0520-2

https://www.frontiersin.org/articles/10.3389/fncom.2016.00094/full

Regards,

Shafagat

You can find a coded example for matlab-deep-learning/Abnormal-EEG-Signal-Classification-Using-CNNs on the following site:

https://github.com/matlab-deep-learning/Abnormal-EEG-Signal-Classification-Using-CNNs

it has all the code you need with explanation

Also

Here is an example of 3-D Brain Tumor Segmentation Using Deep Learning

and Matlab code

https://www.mathworks.com/help/images/segment-3d-brain-tumor-using-deep-learning.html

Good luck

Mohamad M. Awad Thank you for shared this.

Hi Samet Çelik

I have worked on these Kaggle EEG and MRI open-sourced datasets before and there are some notebooks that you could look at:

EEG dataset: https://www.kaggle.com/nnair25/Alcoholics

Comprehensive notebook: https://www.kaggle.com/ruslankl/eeg-data-analysis

MRI segmentation dataset: https://www.kaggle.com/navoneel/brain-mri-images-for-brain-tumor-detection

CNN notebook for segmentation: https://www.kaggle.com/anseldsouza/brain-tumor-detection-using-cnn

I find that you can learn different techniques and see a clear comparison of performance/implementation for those techniques on Kaggle competitions.

Cheers

u can check this link it may help for u

https://www.researchgate.net/deref/https%3A%2F%2Fwww.nature.com%2Farticles%2Fs41593-019-0520-2

This would be a great question to post in our new free medical imaging question and answer forum ( www.imagingQA.com ), there are already a few fMRI and deep learning questions on there. If useful, please feel free to open a new topic at the link below :

https://community.imagingqa.com/c/questions/5