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  "author": "",
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  "groups": [],
            
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  "id": "4474dd3c-fdb0-4749-a163-8ffbced7905c",
            
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  "isopen": true,
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  "isopen": true,
            
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  "license_id": "cc-by",
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  "license_id": "cc-by",
            
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  "license_title": "Creative Commons Attribution",
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  "license_title": "Creative Commons Attribution",
            
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  "license_url": "http://www.opendefinition.org/licenses/cc-by",
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  "license_url": "http://www.opendefinition.org/licenses/cc-by",
            
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  "maintainer": "Data tester",
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  "maintainer": "Data tester",
            
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  "maintainer_email": "medpacslin@gmail.com",
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  "maintainer_email": "medpacslin@gmail.com",
            
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  "metadata_created": "2023-03-28T02:39:48.272191",
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  "metadata_created": "2023-03-28T02:39:48.272191",
            
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  "metadata_modified": "2023-12-12T06:11:30.216714",
            
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  "name": "ihd-ct",
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  "name": "ihd-ct",
            
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  "notes": "The dataset contains brain CT images in 7 categories: any, 
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  "notes": "The dataset contains brain CT images in 7 categories: any, 
            
18
epidural, intraparenchymal, intraventricular, none, subarachnoid, and 
18
epidural, intraparenchymal, intraventricular, none, subarachnoid, and 
            
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subdural. Each category has 1000 DICOM files.\r\n\r\nThe source of the 
19
subdural. Each category has 1000 DICOM files.\r\n\r\nThe source of the 
            
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dataset (from Kaggle): 
20
dataset (from Kaggle): 
            
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.kaggle.com/competitions/rsna-intracranial-hemorrhage-detection/data",
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.kaggle.com/competitions/rsna-intracranial-hemorrhage-detection/data",
            
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      "description": "20230419_11:18 updated from NTUNHS raccoon, 
            
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      "description": "20230419_11:18 updated from NTUNHS raccoon, 
            
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      "description": "20230419_11:18 updated from NTUNHS raccoon, 
            
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    {
            
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      "display_name": "hemorrhage",
            
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  ],
            
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  "title": "Brain CT Hemorrhage Public Dataset",
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  "version": ""
            
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}
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}