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On December 12, 2023 at 3:06:40 PM +0800, accyang Albert Yang:

  • Updated description of Brain CT Hemorrhage Public Dataset from

    ## 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. ## Dataset Details __Categories__: Any, Epidural, Intraparenchymal, Intraventricular, None, Subarachnoid, Subdural __Files__: 1000 DICOM files per category __Total Images__: 7000 DICOM files __Source__: RSNA Intracranial Hemorrhage Detection Challenge on Kaggle The source of the dataset (from Kaggle): https://www.kaggle.com/competitions/rsna-intracranial-hemorrhage-detection/data ##Use Case## This dataset is ideal for researchers and practitioners working on medical imaging, particularly in the areas of brain health, neural disorders, and automated diagnosis systems. It provides a substantial resource for developing and testing algorithms in the detection of various types of intracranial hemorrhages.
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    ## 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. ## Dataset Details __Categories__: Any, Epidural, Intraparenchymal, Intraventricular, None, Subarachnoid, Subdural __Files__: 1000 DICOM files per category __Total Images__: 7000 DICOM files __Source__: RSNA Intracranial Hemorrhage Detection Challenge on Kaggle The source of the dataset (from Kaggle): https://www.kaggle.com/competitions/rsna-intracranial-hemorrhage-detection/data ##Use Case## This dataset is ideal for researchers and practitioners working on medical imaging, particularly in the areas of brain health, neural disorders, and automated diagnosis systems. It provides a substantial resource for developing and testing algorithms in the detection of various types of intracranial hemorrhages.