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  "author": "Jordan Colman",
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    "https://doi.org/10.48550/arXiv.2101.10589",
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    "https://doi.org/10.48550/arXiv.2101.10589",
            
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  "doi": "10.57702/bvdq5afv",
            
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    {
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    {
            
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      "extra_author": "Lei Zhang",
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      "extra_author": "Wenting Duan",
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    },
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      "extra_author": "Xujiong Ye",
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      "extra_author": "Xujiong Ye",
            
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      "orcid": ""
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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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      "name": "medical-image-segmentation",
            
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      "title": "Medical Image Segmentation"
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      "title": "Medical Image Segmentation"
            
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  "name": "brats-2020",
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  "name": "brats-2020",
            
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  "notes": "Automatic segmentation of brain tumors is an essential but 
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  "notes": "Automatic segmentation of brain tumors is an essential but 
            
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challenging step for extracting quantitative imaging biomarkers for 
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challenging step for extracting quantitative imaging biomarkers for 
            
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accurate tumor detection, diagnosis, prognosis, treatment planning and 
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accurate tumor detection, diagnosis, prognosis, treatment planning and 
            
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assessment. Multimodal Brain Tumor Segmentation Challenge 2020 (BraTS 
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assessment. Multimodal Brain Tumor Segmentation Challenge 2020 (BraTS 
            
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2020) provides a common platform for comparing different automatic 
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2020) provides a common platform for comparing different automatic 
            
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algorithms on multi-parametric Magnetic Resonance Imaging (mpMRI) in 
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algorithms on multi-parametric Magnetic Resonance Imaging (mpMRI) in 
            
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tasks of 1) Brain tumor segmentation MRI scans; 2) Prediction of 
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tasks of 1) Brain tumor segmentation MRI scans; 2) Prediction of 
            
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patient overall survival (OS) from pre-operative MRI scans; 3) 
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patient overall survival (OS) from pre-operative MRI scans; 3) 
            
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Distinction of true tumor recurrence from treatment related effects 
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Distinction of true tumor recurrence from treatment related effects 
            
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and 4) Evaluation of uncertainty measures in segmentation.",
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and 4) Evaluation of uncertainty measures in segmentation.",
            
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    }
            
188
  ],
229
  ],
            
189
  "title": "BraTS 2020",
230
  "title": "BraTS 2020",
            
190
  "type": "dataset",
231
  "type": "dataset",
            
191
  "version": ""
232
  "version": ""
            
192
}
233
}