MedicalZooPytorch
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A pytorch-based deep learning framework for multi-modal 2D/3D medical image segmentation
Hello, How do I perform multi class semantic (instance) segmentation over my set of 2D PNG/TIF grayscale images and their corresponding masks file (NPY numpy array, TIF or any other)...
hello, dear author.I want to know how to change the ’test‘ code in BraTs2020.py and BraTs 2018.py to use inference .py
Hi, I would like to train using my own data. I have volume x,y,z and corresponding 1 segmentation with 99 classes. what is the data size that feeded into the...
Does anyone has solution to this Data: brats2018 dataset A bug in tests.test_vizual.py Line: 37: visualize_3D_no_overlap_new(args, full_volume, affine, model, 10, args.dim) This leads to lib/visual3D_temp/[viz.py] Line 111: modalities, slices, height,...
Hello, First of all, thanks for the amazing work. Question: I tried to train the Unet3D model on bratS 2018 dataset using the 'train_brats_2018_new.py'. but I got lower validation DSC...
According to the structure diagram of the paper, the final OutputTransition should look like the following： ``` class OutputTransition(nn.Module): def __init__(self, in_channels, classes, elu): super(OutputTransition, self).__init__() self.classes = classes #...
**Describe the bug** A clear and concise description of what the bug is. **To Reproduce** Steps to reproduce the behavior: 1. Go to '...' 2. Click on '....' 3. Scroll...
When I run "brats2018.py", I do not know what should be in this file self.save_name = self.root + '/MICCAI_BraTS_2018_Data_Training/brats2018-list-' + mode + '-samples-' + str( samples) + '.txt' Please help...
After replacing the __getitem__ method in line 77 of the file lib->medloaders>[mrbrains2018.py](http://mrbrains2018.py/) with the following code, the error disappears and the training can proceed normally. def __getitem__(self, index): t1_path, ir_path,...
