James

> Hello @BubblyYi, thanks for your contributions. Could you provide the error report before this modification? As you can see, this bug can be reproduced in torch==1.3.0, mmcv==1.3.9, 

Please try to draw the data distribution map of blood vessel radius. You should ensure that the data distribution of training set and test set is consistent. Other indicators are...

Hi, I think it may be because your network is not well trained, the network output some wrong results. It should be noted that you need to write your own...

> > 嗨，我认为这可能是因为您的网络训练不足，网络输出了一些错误的结果。应该注意的是，您需要编写自己的代码来划分数据集。请考虑数据分布以及正负样本的比例。关键是训练集和测试集的分布是否一致。例如，在训练种子点网络时，我生成的大多数数据都是负样本，因为在血管附近有少量数据。 > > 您好，很高兴收到您的回复，我想请问一下，您在划分数据集是将8组数据打散划分成训练集，验证集数据的吗，还是采用留一法啊？ It is should be cross-validation

> Hi, how to determine the radii of the off-centerline training samples, as they do not lie on the centerline? Good question! When the ball deviates from the centerline, the...

> > > Hi, how to determine the radii of the off-centerline training samples, as they do not lie on the centerline? > > > > > > Good question!...

> > > Hi, how to determine the radii of the off-centerline training samples, as they do not lie on the centerline? > > > > > > Good question!...

Hi, Thank you for your interest in my project. For your question, I have the following suggestions. First of all, please consider the data distribution and the proportion of positive...

> https://github.com/BubblyYi/Coronary-Artery-Tracking-via-3D-CNN-Classification/blob/976542c070c5e041b87ddb2d75876a4d6acfebfe/data_process_tools/utils.py#L123 > > Hey, > > I am just wondering if you could clarify on how you come up with the 'ellipse' value = 0.1? > > Also, for...