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View Code? Open in Web Editor NEWOfficial implementation of Lung Nodule Classification using Deep Local-Global Networks using PyTorch
License: MIT License
Official implementation of Lung Nodule Classification using Deep Local-Global Networks using PyTorch
License: MIT License
Is there any code for process the LUNA16 dataset to generate the pre-processd dataset?
What‘s the idea in the procedure?From the original dataset to the pre-processd dataset,What did you do?
I have a question Mr, Mundher @mundher. Why do you shorten the size of the predict and target vectors at the end of the predict function? Normally, do you use 255 to test, right? After you do that .view the data now is 86. Could you explain to me why?
all_pred = all_pred.view(-1, 3).mean(dim=1) all_targets = all_targets.view(-1, 3).mean(dim=1)
Thank you for making your version of the LIDC data available. I am trying to link your data back to the LIDC. Is there a correspondence between the preprocessed data and the indexing used in LIDC? Is the seriesuid or the studyuid of the preprocessed data available? Thank you.
Dear Mundher,
I have unpacked the images, put the proper path, but I get the following error:
Experiment LocalGlobalNetwork ------------ fold 1 ------------ Traceback (most recent call last): File "/home/mike/local-global-master/experiments.py", line 200, in <module> experiments[exp_name](data_path) File "/home/mike/local-global-master/experiments.py", line 74, in expLocalGlobal deterministic=True File "/home/mike/local-global-master/kflod.py", line 53, in kfold trset, testset = dataset_func(path.join(src_path,str(fold))) File "/home/mike/local-global-master/preprocessing.py", line 87, in get_dataset im = imread(path.join(dir,f'{id:.0f}.{j}.png')) File "/home/mike/anaconda3/envs/DeepLung-1-NEW/lib/python3.7/site-packages/imageio/core/functions.py", line 265, in imread reader = read(uri, format, "i", **kwargs) File "/home/mike/anaconda3/envs/DeepLung-1-NEW/lib/python3.7/site-packages/imageio/core/functions.py", line 172, in get_reader request = Request(uri, "r" + mode, **kwargs) File "/home/mike/anaconda3/envs/DeepLung-1-NEW/lib/python3.7/site-packages/imageio/core/request.py", line 124, in __init__ self._parse_uri(uri) File "/home/mike/anaconda3/envs/DeepLung-1-NEW/lib/python3.7/site-packages/imageio/core/request.py", line 260, in _parse_uri raise FileNotFoundError("No such file: '%s'" % fn) FileNotFoundError: No such file: '/home/mike/local-global-master/lidc_img/0/0.0.png
Hello i have some questions
I don’t know how to run a specific example, how to use the path of the model and the picture
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