YzzLiu / FracSegNet

A deep-learning method for segmenting fractures from 3D CT images.
https://link.springer.com/chapter/10.1007/978-3-031-43996-4_30
MIT License
22 stars 3 forks source link

Could you release your training code? #3

Closed dyxu-cuhkcse closed 2 months ago

dyxu-cuhkcse commented 7 months ago

Hi, thanks for you nice work. I want to ask can you share your code for training? Because now you only release the testing code and the pre-trained model. I cannot re-implement the training process by myself.

Thanks!

YzzLiu commented 7 months ago

Sorry to have kept you waiting. We are conducting a comprehensive review of the training code to provide a more convenient version. We will release the training code as soon as possible.

If you are in a hurry, you can email me at yanzhenliu@buaa.edu.cn. I can give you a version for testing.

WeiL233 commented 6 months ago

Hi, thanks for you nice work. I want to ask can you share your code for training? Because now you only release the testing code and the pre-trained model. I cannot re-implement the training process by myself.

Thanks!

can you run the test code? i found some mistake reports in import part such as 'from fracSegNet.predict_single import predict_single_case'

dyxu-cuhkcse commented 6 months ago

Hi, thanks for you nice work. I want to ask can you share your code for training? Because now you only release the testing code and the pre-trained model. I cannot re-implement the training process by myself. Thanks!

can you run the test code? i found some mistake reports in import part such as 'from fracSegNet.predict_single import predict_single_case'

I didn't run the test code yet. It's meaningless to inference without train code :)

YzzLiu commented 2 months ago

Thank you for your kind words and interest in our work. I apologize for the delay.

I have now released the latest version of the training and inference code. You can find it here.

Thank you for your patience. If you have any further questions or need additional assistance, please let me know.