datasets problem

[LinjieFu-U]

Hello, can you provide the processed datasets

[ZAX130]

I'm so sorry that I'm afraid I can't, because the size of the total dataset is too big. However, we have further published the link of the IXI dataset processed by freesurfer and an example code of how to create a pkl dataset from the original dataset, which may help with this issue.

[ZAX130]

We have published the pkl-format LPBA dataset we used in experiments.

[LinjieFu-U]

Thank you very much for your contributions. We were able to reproduce results similar to those in your work on both IXI and LPBA datasets, but when we tried to use the data in the link of Mindboggle dataset you provided for the experiment, the DICE of the experiment result was only 0.49, far lower than the result of 0.62 in your work. We suspect that it is a problem when we process the data. Could you please provide the processed Mindboggle dataset?

[ZAX130]

Have you ever tried to change the Seg_norm() in data/trans.py and dice_val_VOI in utils.py?

[LinjieFu-U]

Yes, we used the seg_norm() and dice_val Settings for the OASIS dataset in Transmorph

[ZAX130]

But you need to change them according to the labels in Mindboggle. You can print all the classes in the label data.

[LinjieFu-U]

Sorry to bother you, but I have another question. How should I calculate the dice of each region separately as in the paper.

[ZAX130]

Please check the code in FAIM: https://github.com/dykuang/Medical-image-registration/blob/master/source/view_dice.py