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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.

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.

Data and Resources

Additional Info

Field Value
Maintainer Data tester
Last Updated December 12, 2023, 15:06 (+0800)
Created March 28, 2023, 10:39 (+0800)