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Hi, apologies for ignoring the issue template but I don't think my inquiry fits the mold. I have 2 things I'd like to raise with you all.
1. It appears you're utilizing the [Soft Tissue Sarcoma](h…
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**Is your feature request related to a problem? Please describe.**
It would be excellent if we could improve users' ability to query/download datasets from The Cancer Imaging Archive and load them in…
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Once we have an exchange affiliate #9 , create a steps page to sign up to the exchange and buy and sell bitcoin
- bitroo
- swyftx
- tcia
Maybe a sub section on wallets with trust wallet as our…
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TCIA seems to be CT of pancreas and the result of preprocessing should be in CSVs/Pancreas, but they are actually in CSVs/Spleen. I wonder if it is because mask=1 is Spleen in BTCV but Pancreas in TCI…
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This looks really cool! I noticed that you've used a few datasets from The Cancer Imaging Archive as I'm seeing names like SAROS, LCTSC, CT-ORG and that you provided some conversion steps to prepare e…
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Hi I was trying to recreate your experiment. I found out there are multiple labels of pancreas in post label which are not available on TCIA_pancreas provided segmentation mask. It just contains those…
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Hi, I help manage TCIA and wanted to alert you to https://pypi.org/project/tcia-utils/ as a simple way to provide instructions in your repo to help researchers download the data directly from our API …
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Hi, I work with the TCIA team that is hosting your dataset. In the README.md for the "TCIA Link" you are pointing to a URL that is going to stop working in the next couple of months (wiki.cancerimagi…
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hello, when I use preprocess/data_conversion.py to convert the DICOM images to NIFTI, I encounter an error.
Firstly, I open the python script as a Pycharm Project, and I change the Python Interpreter…
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Hello, I am trying to preprocess the LIDC dataset but I am getting the following errors.
No DICOM's found for file: /LIDC-IDRI-Preprocessing/LIDC_Dataset/XML_Data/LIDC-XML-only/tcia-lidc-xml/186/0…