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  "author": "Bakas et al.",
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  "author": "Bakas et al.",
            
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  "citation": [
            
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    "https://doi.org/10.48550/arXiv.1810.11654"
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    "https://doi.org/10.48550/arXiv.1810.11654"
            
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  "doi": "10.57702/05g5qp68",
            
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  "doi_date_published": "2025-01-02",
            
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      "description": "",
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      "description": "",
            
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      "name": "brain-tumor-segmentation",
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      "name": "brain-tumor-segmentation",
            
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      "title": "Brain Tumor Segmentation"
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      "title": "Brain Tumor Segmentation"
            
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    },
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    {
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    {
            
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      "description": "",
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      "description": "",
            
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      "name": "medical-imaging",
            
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      "title": "Medical Imaging"
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      "title": "Medical Imaging"
            
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"https://www.cbica.upenn.edu/BraTS18/lboardValidation.html",
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"https://www.cbica.upenn.edu/BraTS18/lboardValidation.html",
            
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  "name": "brats-2018-training-dataset",
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  "name": "brats-2018-training-dataset",
            
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  "notes": "The BraTS 2018 training dataset included 285 cases (210 
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  "notes": "The BraTS 2018 training dataset included 285 cases (210 
            
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HGG and 75 LGG), each with four 3D MRI modalities (T1, T1c, T2 and 
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HGG and 75 LGG), each with four 3D MRI modalities (T1, T1c, T2 and 
            
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FLAIR) rigidly aligned, resampled to 1x1x1 mm isotropic resolution and 
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FLAIR) rigidly aligned, resampled to 1x1x1 mm isotropic resolution and 
            
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skull-stripped.",
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  "title": "BraTS 2018 Training Dataset",
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}
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}