Hi!

First of all, this wasn't really meant as a tutorial but great that it was explanatory enough.

About the low accuracy: It could have to do with the dataset, the dataset I used which was uploaded to Kaggle but quickly taken offline again already was pre-processed. This page still contains the readme from the dataset which also lists the steps done in pre-processing. https://github.com/jbrown81/ADNI_kaggle/blob/master/adni_kaggle.ipynb

Thanks for the reply!
I also read the pre-processing steps and other papers before , then I use the FSL software to process the raw data and get the gray matter slices in coronal plane.
However, when I use the pre-processed data to train a 2DCNN or 3DCNN both don't have a great result.
Maybe can you send me some sample pre-processed data to goodcandy10@gmail.com ? Thank you for helping!

I have a zip file with the pre-processed images on Google Drive. https://drive.google.com/file/d/0B5zQ7kc5shlgRG9laXMxcnlyMk0/view?usp=sharing

Good luck!

Thank you very much! I will try again~

@ABadCandy did it work? 😄

Yes! I used the pre-processed data you provided on 2DCNN and 3DCNN , the accuracy is ~80% and ~85% respectively. However, I also want to use the original data for comparative experiment, Do you have the raw data downloaded from adni?（I cannot download it now）Sorry to bother you!

@ABadCandy no sorry I do not have that data available but you should be able to download it somewhere right? http://adni.loni.usc.edu

@regnerus Yes, but I cannot find the original MR image for each person correspondingly and it seems that the data on website has not allowed to download. Anyway thank you very much!

Hi @regnerus i am trying to run your code but I am having an issue can you please share the weights file and report. It will be of great help for me.