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.

介绍了 CPAISD 数据集，旨在通过使用非对比增强计算机断层扫描（NCCT），提高对缺血性中风的早期检测和分割。该数据集解决了在早期阶段诊断急性缺血性中风时常常无法揭示原发性 CT 结果的挑战，提供一系列分割的 NCCT 图像。这些图像包括缺血核心和半明区域的注释，对于开发机器学习模型以实现快速中风识别和评估至关重要。通过提供一个经过精心收集和注释的数据集，旨在促进先进诊断工具的开发，为中风管理中的患者护理和结果改善做出贡献。我们的数据集的独特之处在于它专注于缺血性中风的急性阶段，并包括一个基准模型来展示数据集的应用，鼓励在医学影像和中风诊断领域的进一步研究和创新。