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Hi, I run your code but the dice on Brain Tumor dataset is 0.7901 ([0.8388071561002625, 0.6973127182908332, 0.8728819098572764]). Why the results is significantly lower than yours in the paper? Besid…
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Thanks for your great work but I'm stuck halfway wondering if you could help me out.
I'm in Windows 10 using conda. After successfully run with python and start the program, I found trouble running p…
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Hi there,
I'm running nnU-Net on an institutional CT head and neck dataset with multi-class labels that I'm adding as shown here: https://github.com/MIC-DKFZ/nnUNet/blob/master/documentation/datase…
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## Project Request
Creating multiple machine learning models to classify brain tumors given images of brain scans.
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| Field | Description |
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Run foundation data import pipeline for MSK brain tumor patients. Data can be found in:
dashi-dev:/data/cbio-portal-data/foundation
Original data should be move to:
cbio-portal-data (repos) /MELLING…
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I found an article called"Attention Gate ResU-Net for automatic MRI brain tumor segmentation"in IEEE,and I want to know if it is the corresponding article.I leave the abstract below,and I will be appr…
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IndexError Traceback (most recent call last)
in ()
3 img = cv2.cvtColor(img, cv2.…
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Hi, when using openmap t1 for segmentation with Brain tumor data there are so many empty regions in the output. How to overcome this? Are there any special preprocessing tasks to deal with tumor datas…
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Hello,
Thank you for the amazing tool. It works really good. I have 2 particular questions.
I have 2 big datasets, primary lung adenocarcinoma tumor and brain metastasis of lung adenocarcinoma.
Th…