RSNA Intracranial Hemorrhage Detection CT Dataset
| Modality | Data Format | Publisher | Licence |
| CT | DICOM | RSNA | Non-Commercial |
Intracranial hemorrhage refers to bleeding that occurs within the skull, specifically within the brain tissue and adjacent spaces. This condition is a medical emergency that requires immediate attention and intervention. Intracranial hemorrhages can result from various causes, including trauma, stroke, aneurysms, vascular malformations, hypertension, illicit drug use, and coagulopathies.
The consequences of an intracranial hemorrhage are highly variable and can range from minor symptoms like headaches to severe outcomes such as irreversible neurological damage or death. Intracranial hemorrhages account for roughly 10% of all stroke cases in the United States and are a leading cause of mortality and morbidity. Radiologists play a crucial role in the timely diagnosis and characterization of intracranial hemorrhages, using medical imaging techniques to identify the presence, location, and type of hemorrhage, as well as its size and impact on critical brain areas.
About Intracranial Hemorrhage Dataset
The RSNA (Radiological Society of North America) Intracranial Hemorrhage Detection Dataset is a substantial and comprehensive collection of medical images and associated data to facilitate the study and automated detection of intracranial hemorrhages. Containing 874,037 files with a total size of approximately 459 GB, the dataset primarily consists of DICOM (Digital Imaging and Communications in Medicine) files (.dcm) for the imaging data and CSV (Comma-Separated Values) files for metadata and annotations.
This dataset is valuable for healthcare professionals, researchers, and data scientists looking to develop machine-learning algorithms capable of identifying and characterizing intracranial hemorrhages. The large volume of data allows for robust training and validation of artificial intelligence models, which, in turn, have the potential to expedite the diagnostic process and augment the capabilities of healthcare providers.