Jianhong Cheng

inference 3D segmentation with 3DUnet model

1

Hello: I use the 3DUnet model to do the Brain Tumor segmentation task ,and the training set is the MICCAI BraTS 2018 data. When I use the 'python3 net_run.py inference...

TypeError: can only concatenate list (not "int") to list

5

Hi, I found the TypeError while run train.py. the detail is as follows: > Traceback (most recent call last): > File "train.py", line 108, in > brain_seg = Training(batch_size=4,nb_epoch=3,load_model_resume_training=model_to_load) >...

Can it be used in DDP?

2

Hi, I use the GardNorm in my segmentation and classification task. I want to use the DistributedDataParallel to train it. But it occurs the error: "RuntimeError: derivative for batch_norm_backward_elemt is...

Hi, according to Eq.(6), the regularizer may be less than zero, and even the total loss is less than zero during the training. In my segmentation and classification tasks, this...

@tianheyu927 Hi, is there an official PyTorch implementation available?

Hi, I use the GardNorm in my segmentation and classification task. I want to use the DistributedDataParallel to train it. But it occurs the error: "RuntimeError: derivative for batch_norm_backward_elemt is...

@davidiommi Hi, I recently focus on medical image translation. I want to obtain T1 and FLAIR modalities from T2 and T1ce modalities. Can you give me some advice?

The practicality of this network

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@brjathu Hi, Thanks for your great work. I want to know whether this network is suitable for two-category image data, such as cat and dog images with shape (64,64,3) ?...

How to train,test and evaluation this model?

4

Hi, can you tell me detailedly how to train,test and evaluation this model? I don't know how to run it since the description of code example is not match with...

Hi, Can you share the code for TransBTSV2?