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BraTS-Toolkit/glioma_segmentation_with_BraTS_Toolkit.ipynb

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"source": [
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"# Warning\n",
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"\n",
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"This tutorial is a work in progress, it does not cover all the functionalities yet. However, it will give you a good overview how you can generate tumor segmentations with BraTS Toolkit.\n"
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"This tutorial is a work in progress, it does not cover all the functionalities yet. However, it will give you a good overview of how you can generate tumor segmentations with BraTS Toolkit.\n"
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"2. **Import** of raw data (cMRI)\n",
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" \n",
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" \n",
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"3. **Preprocessing via BrainLes preprocessig package** instead of vanilla preprocessing pipeline from BraTS Toolkit. BraTS challenge algorithms expect preprocessed files (co-registered, skullstripped in SRI-24 space)\n",
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"3. **Preprocessing via BrainLes preprocessing package** instead of vanilla preprocessing pipeline from BraTS Toolkit. BraTS challenge algorithms expect preprocessed files (co-registered, skullstripped in SRI-24 space)\n",
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" \n",
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" \n",
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"4. **Segmentation with BraTS Toolkit** \n",
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" \n",
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" \n",
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"5. **Fusion** of generated segementations \n",
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"5. **Fusion** of generated segmentations \n",
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"\n"
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"optional (but recommended):\n",
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"\n",
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"- CUDA drivers\n",
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"- a GPU that is supported (each algorithms supports different set of GPUs)\n",
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"- a GPU that is supported (each algorithm supports different set of GPUs)\n",
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"<!-- TODO specify -->\n",
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"\n",
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"Run the subsequent cell to check CUDA availability, your python and docker version. "
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"Run the subsequent cell to check CUDA availability, your Python and docker version. "
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"source": [
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"## 2. Import raw input data\n",
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"\n",
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"Raw imput data require\n",
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"Raw input data require\n",
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"- exam with skull and 4 sequences (T1, T1c, T2, T2-FLAIR), only one file each (in total 4 files) \n",
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" - file names must end with \"*t1.nii.gz\", \"*t1c.nii.gz\", \"*t2.nii.gz\" and \"*fla.nii.gz\"\n",
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" - [Nifti \".nii.gz\"](https://brainder.org/2012/09/23/the-nifti-file-format/) file type \n",
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"- each exam (4 files) needs to be places in an individual folder within the data folder \n",
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"```<this repository>/BraTS-Toolkit/data/```. \n",
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"\n",
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"The structure is shown using two example exams:\n",
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"The structure is shown using two examples exams:\n",
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"```\n",
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"BraTS-Toolkit\n",
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"├── data\n",
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"source": [
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"## 3. Preprocessing\n",
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"\n",
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"BraTS challenge algorithms expect co-registered, skullstripped files in SRI-24 space, to achieve this preprocessing is required.\n",
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"BraTS challenge algorithms expect co-registered, skull-stripped files in SRI-24 space, to achieve this preprocessing is required.\n",
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"Instead of using the vanilla preprocessing pipeline from BraTS Toolkit, we recommend using the new [BrainLes preprocessing package](https://github.com/BrainLesion/preprocessing/tree/main/brainles_preprocessing).\n"
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