3DUnet-Tensorflow-Brats18
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3D Unet biomedical segmentation model powered by tensorpack with fast io speed
First, appreciate your code!୧(๑•̀◡•́๑)૭ It helps me a lot!! When I conduct the training process, it is so weird that the training stops at "Running Op sync_variables_from_main_tower..." without any following...
Hi, @tkuanlun350 , when I ran train.py, the error occurred. And the dataset and filepath have been modified already. Traceback (most recent call last): File "E:/CTAs/HeartSegmentaion/Codes/3DUnet-Tensorflow-Brats18-master/train.py", line 20, in from...
(base) D:\newwork\tkuanlun350\3DUnet-Tensorflow-Brats18-master>python preprocess.py Processing HGG ... 0%| | 0/210 [00:00
Thanks for sharing your work. Could you please add the testing result for brats 2018?
When I try to run the command `python train.py --logdir=./train_log/unet3d --gpu 0 ` > unrecognized arguments: --logdir=./train_log/unet3d --gpu 0 How to fix this?
Can you tell me how dataset folder should look like? Mine looks like: > --\data > ----\dataset > -------\BRATS2018 > -----------\training > ---------------\HGG > -------------------HGG147_Flair.nii > -------------------HGG147_Label.nii > -------------------HGG147_T1nii >...
@tkuanlun350 Hi, thanks for your work. I met some problem when define model inputs. We usually use `None` to define batch dimension when define model input placeholder in tensorflow. So...
The training stage is well, consuming about 10 GB CPU memory. However, memory increases quickly once online eval (called by EvalCallback) starts, and amounts to 60G after several eval iterations....
Hi, Thanks for sharing your code. I found you didn't do N4 bias correction on "flair" modality in preprocess. Could you please tell me why ?
First place in brats18 used group norm. It is interesting to try it. Looking forward to seeing your result on it. One more thing. Why not use crop size smaller...