Xiangde Luo

Hi, So strange, I ran the experiment again, and there were some differences in results, but the differences were minor (

Hi, The mean and standard deviation were conducted from the whole test cases rather than many times training, as all random seeds were fixed in this study. Best, Xiangde.

Hi dyl0101, That's a good question, maybe you can read our new work [ACELoss](https://github.com/HiLab-git/ACELoss), and there is some new implementation for the length term, maybe they can help you. Best...

Hi, Quande In my understanding, the AC loss calculate the length term by a finite-difference in different axis, this term just was used as a regularization term to preserve the...

> > Do you understanding it now? I also can't figure it out at this moment. > > Hi, I also cannot figure it out and am waiting for the...

Hi, in my understanding, the answer is yes, you can find a PyTorch implementation of 3D AC loss for a 3D network training from [our lab Github](https://github.com/HiLab-git/ACELoss), two or three...

Hi, Andy Chow, Now the code is available at https://github.com/Luoxd1996/ACELoss, If you have any questions, please let me know. Xiangde Luo. Andy Chow 于2020年11月1日周日 下午9:18写道： > @Luoxd1996 Thanks, waiting for...

Hi, huangsusan; Yes, I have implemented a 3D version of AC Loss based on the Sobel filter, you can use it for model training directly. If you have any questions,...

Hi, Any Chow, I have submitted the manuscript to Arxiv, and it will be checked by Arxiv and released tomorrow. If you want to read it today, you can contact...

Hi， I don't know what's your problem you have met. In my understanding, the output needs to be seed into an activation function (softmax or sigmoid) and then calculate loss...