hsiangyuzhao / rcps Goto Github PK

Hi, thanks for your excellent work. When will you release the code?

请问数据是怎么处理的呢？

At present, I am unable to obtain LA dataset. Can you share it with me? I will only be doing academic research, and this is my student email address [email protected]

Hello, how will I use a single card for training, and what are the commands?

Hello,thanks for your sharing very much.When I tried to run the train.py,the Error always happened no matter how many Gpus I used. It is strange that different Gpus require different amounts of memory.The best Gpu I used is 4 NVIDIA A100 . Training is good but on the fifth iteration evaluation loop started, the error always arised. Do you know how to fix it?

请问数据集是怎么处理的呢？

你们好，首先非常感谢你们的工作！我想请问如果要尝试在自己的数据集上进行训练的话，需要改那些文件？我发现你们还没有提供对自己数据集的支持，但是非常想尝试用你们的模型试着跑跑实验看看分割效果
感谢：）

Hi, thank you for the README update and congratulations to the acceptance!

What is the different between real semi-supervised scene and changing label ratios?
To make sure, when changing label ratios, the model didn't use the label to compute segmentation loss, isn't this the same as real semi-supervised scene?

A follow up question:
Will there be precision change (drop) when switching to real semi-supervised scene compared to the results reported on the paper?

Many Thanks.

Author, thank you for your work. But when I reproduced the code, I set the negative samples to N=100, but there is still a little gap between my results and your paper.
LA dataset:
bg_dice: 0.9896 ± 0.0049; la_dice: 0.8712 ± 0.0577; bg_hd95: 2.2933 ± 1.3194; la_hd95: 15.1779 ± 16.0119; bg_asd: 0.4185 ± 0.2263; la_asd: 3.6897 ± 3.3981;
Pancreas dataset:
bg_dice: 0.996 ± 0.0015; pancreas_dice: 0.7719 ± 0.0702; bg_hd95: 1.2585 ± 0.4075; pancreas_hd95: 12.1445 ± 10.8312; bg_asd: 0.2605 ± 0.1133; pancreas_asd: 2.8957 ± 1.3297;
Here is my training command:
CUDA_VISIBLE_DEVICES=0,1 torchrun --nproc_per_node=2 train.py --mixed --benchmark --task pancreas --exp_name pancreas --wandb
paper result:

你好，感谢您的工作和分享。您提供的LA数据集的链接无法打开，请问方便使用邮箱或者网盘给我一份吗？非常感谢！
我的邮箱号是[email protected]

你好，感谢您的工作和分享。在尝试复现你们工作时我需要申请对应环境的服务器，但是我没有在文档中看到代码的requirements，能麻烦您告知吗？