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Brain CT Hemorrhage Public Dataset

Overview

This dataset, featured in the RSNA Intracranial Hemorrhage Detection challenge on Kaggle, offers a rich collection of brain CT images. It is meticulously categorized into seven distinct classes: 'any', 'epidural', 'intraparenchymal', 'intraventricular', 'none', 'subarachnoid', and 'subdural'. Each category is represented by 1000 DICOM files, providing a balanced and extensive dataset for analysis and machine learning applications.

The source of the dataset (from Kaggle): https://www.kaggle.com/competitions/rsna-intracranial-hemorrhage-detection/data

Données et ressources

IHD_NYCU.csvCSV
20230330_12:08 updated from NYCU raccoon
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IHD_ntunhs.csvCSV
20230331_11:55 updated from NTUNHS raccoon
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ihd-ct_[type]_anyCSV
20230419_11:18 updated from NTUNHS raccoon, any class
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ihd-ct_[type]_epiduralCSV
20230419_11:18 updated from NTUNHS raccoon, epidural class
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ihd-ct_[type]_intraparenchymalCSV
20230419_11:18 updated from NTUNHS raccoon, intraparenchymal type
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ihd-ct_[type]_intraventricularCSV
20230419_11:18 updated from NTUNHS raccoon, intraventricular type
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ihd-ct_[type]_subarachnoidCSV
20230419_11:18 updated from NTUNHS raccoon, subarachnoid type
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ihd-ct_[type]_subduralCSV
20230419_11:18 updated from NTUNHS raccoon, subdural type
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Brain CT Hemorrhage DatasetDICOM
This dataset was a part of the RSNA 2019 Challenge and contains an equal...
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Info additionnelle

Champ	Valeur
Mainteneur	Data tester
Dernière modification	décembre 12, 2023, 14:58 (+0800)
Créé le	mars 28, 2023, 10:39 (+0800)