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  "groups": [],
            
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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": "2023-12-12T07:00:18.809744",
            
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  "name": "ihd-ct",
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  "name": "ihd-ct",
            
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  "notes": "# Overview\r\n\r\nThis dataset, featured in the RSNA 
n
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  "notes": "## Overview\r\n\r\nThis dataset, featured in the RSNA 
            
18
Intracranial Hemorrhage Detection challenge on Kaggle, offers a rich 
18
Intracranial Hemorrhage Detection challenge on Kaggle, offers a rich 
            
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collection of brain CT images. It is meticulously categorized into 
19
collection of brain CT images. It is meticulously categorized into 
            
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seven distinct classes: 'any', 'epidural', 'intraparenchymal', 
20
seven distinct classes: 'any', 'epidural', 'intraparenchymal', 
            
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'intraventricular', 'none', 'subarachnoid', and 'subdural'. Each 
21
'intraventricular', 'none', 'subarachnoid', and 'subdural'. Each 
            
22
category is represented by 1000 DICOM files, providing a balanced and 
22
category is represented by 1000 DICOM files, providing a balanced and 
            
23
extensive dataset for analysis and machine learning 
23
extensive dataset for analysis and machine learning 
            
t
t
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applications.\r\n\r\n## Dataset Details:\r\n\r\nCategories: Any, 
            
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Epidural, Intraparenchymal, Intraventricular, None, Subarachnoid, 
            
26
Subdural\r\nFiles: 1000 DICOM files per category\r\nTotal Images: 7000 
            
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DICOM files\r\nSource: RSNA Intracranial Hemorrhage Detection 
            
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applications.\r\n\r\nThe source of the dataset (from Kaggle): 
28
Challenge on Kaggle\r\nThe source of the 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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}
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}