shahinshh / covid-ct-md Goto Github PK

I use the numpy load() to read the npy file, and the Slice-level-labels.npy has no problem, but the updated Slice-level-labels-updated-1.npy file has the problem reported like this:
`return pickle.load(fid, **pickle_kwargs)
_pickle.UnpicklingError: invalid load key, '\x0a'.

The above exception was the direct cause of the following exception:

Traceback (most recent call last):
File "", line 1, in
File "/home/***/.local/lib/python3.8/site-packages/numpy/lib/npyio.py", line 423, in load
raise pickle.UnpicklingError(
_pickle.UnpicklingError: Failed to interpret file 'Slice-level-labels-updated-1.npy' as a pickle
`
I also switch the allow_pickle para in the load() method,but Both attempts failed.
thanks for sharing the data

Thank you for sharing the dataset.

I suppose that this dataset is the one used in IEEE ICASSP SPGC. Am I right?

If so, could you please provide the ground-truth labels for the three test sets or at least allow access to an application to analyze our method's performance?

Many thanks for considering my request.

Best,

Thiago L T da Silveira.

Hi, thanks for sharing the dataset
I have problem with reading labels
labels in Slice_level_labels.npy and index.csv are not match with dicom files
Could you please help me

Hi,

I am using this link: https://figshare.com/s/c20215f3d42c98f09ad0

But cannot see any download link:

Please advise how to access the data?

Many thanks

Heyhey!
I am wondering how to access the data shared on figshare? It seems to be a private dataset and I can not find a way to ask for permission or something.