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Why I have a low accuracy when used 3dcnn in this tutorial? #1
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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 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. |
Hi, thanks you for sharing first!
I have about four hundreds data from ADNI and follow your tutorial with three classification(AD,MCI,CN), but I have a low accuracy finally, I worder know is there a problem with my data processing problem or model? So could your please send me a sample data for study, thanks a lot!
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