xuzhez / ptnet3d Goto Github PK

First, thanks a lot for sharing your interesting paper/ code.
I am doing similar works and I wonder how you calculated the evaluation metrics such as SSIM and PSNR.
Is the score 2D-based, meaning the score means the aggregated score across all 2D slices?
Or is it 3D-based?

Thanks!

Thank you for the great work. I was trying to use train.py with different options and I ran into this, which I think is not intended.

base_options.py line 38 is

self.opt = self.parser.parse_args(args=[])

while I think for it to actually use the arguments we provide instead of the default arguments, it should be

self.opt = self.parser.parse_args()

Please let me know if this is not the case.

Hi, thanks for sharing your wonderful project!
I am interested in the dataset you are using, and I wonder if you can give me a link for downloading datasets.

Thanks!

Hi @XuzheZ
Thanks so much for your work on this project !

I'd like to ask some questions about my use of this project. Why the image I input to the network is T1-W and the generated image is also T1-W? The uploaded image includes the original T1-W, T2-W, T2-W_20epo, and T2-W_60epo. The network parameters are basically not modified.

Best wishes!

Data.zip