CPAISD: Core-penumbra acute ischemic stroke dataset
D. Umerenkov S. Kudin M. Peksheva D. Pavlov
We introduce the CPAISD: Core-Penumbra Acute Ischemic Stroke Dataset, aimed
at enhancing the early detection and segmentation of ischemic stroke using
Non-Contrast Computed Tomography (NCCT) scans. Addressing the challenges in
diagnosing acute ischemic stroke during its early stages due to often
non-revealing native CT findings, the dataset provides a collection of
segmented NCCT images. These include annotations of ischemic core and penumbra
regions, critical for developing machine learning models for rapid stroke
identification and assessment. By offering a carefully collected and annotated
dataset, we aim to facilitate the development of advanced diagnostic tools,
contributing to improved patient care and outcomes in stroke management. Our
dataset's uniqueness lies in its focus on the acute phase of ischemic stroke,
with non-informative native CT scans, and includes a baseline model to
demonstrate the dataset's application, encouraging further research and
innovation in the field of medical imaging and stroke diagnosis.