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cpmnetv2's Issues

How to reproduce code results?

Hello, thank you for providing this code, and congratulations on your achievements. Could you please write down how to reproduce
your code results on LUNA16, such as the whole process of training and testing, data preprocessing and other codes (generated from LUNA16 original data)? Thank you very much.

luna16 复现问题

请问--lambda_cls=4.0 --lambda_shape=0.1 --lambda_offset=1.0 --lambda_iou=1.0这几个参数在复现肺结节检测的时候怎么调节,论文里面好像没有写到,方便解释和提供一下吗?

如何在luna16上进行训练?

你好,我好像没有找到luna16的训练文件,只找到了luna16_preprocessing.py,是否可能分享一份LUNA16的训练文件或者指导我如何进行训练呢?

Question about hyper parameter in luna16 dataset

First of all, thank you for your willingness to share the code, it is very helpful to me. I am tyring to reproduce the result in luna16 and not hit the 0.956 froc.
So I am very interested in the hyperparameter settings on Luna16. Can you give me the corresponding hyperparameter settings?
Looking forward to your prompt reply! 😊
Ps: I know you're probably very busy, so I don't need the full Luna training code
@zunzhumu

CPMNetv2 Results on Aneurysms and RibFractures

Hi,

congratulations on your great work on CPMNetv2, this looks very interesting. The readme states that CPMNetv2 achieves very nice results on Aneurysm Detection on TOF-MRA (ADAM?) and RibFracture (RibFrac?) detection problems. Would it be possible to share those results and provide a citable source for them? (optimally also including the exact splits and experimental setup used to run those :) )

Best,
Michael

The loss is 0 during training

Hello, when I was training my own data, I found that the loss was still 0 when I reached the fifth epoch of training. Is there a problem with this? How to solve it?
image

训练过程,cuda出问题

您好,我在使用这个代码训练自己的数据时,出现这个错误:

RuntimeError: CUDA error: out of memory
CUDA kernel errors might be asynchronously reported at some other API call,so the stacktrace below might be incorrect.
For debugging consider passing CUDA_LAUNCH_BLOCKING=1.

训练时我将batchsize和num_sam都改成1,显卡有一张A100, 9张RT3090,训练数据有712例,这个需要如何优化才可以跑起来呢?
image

How to reproduce the experiment on LUNA16?

It's a good job that CPM-Net can get excellent perfermance on LUNA16. Recently, I wanted to use CPM-NetV2 to reproduce this experiment, but I got failed. The performance of my CPM-NetV2 model is not satisfying (its CPM is only 85.0). Could you please provide me with some suggestions on hyperparameters?

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