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.

翻译：我们介绍了CPAISD：核心-半暗带急性缺血性卒中数据集，旨在利用非增强计算机断层扫描（NCCT）增强对缺血性卒中的早期检测与分割。针对急性缺血性卒中早期诊断中常因平扫CT结果不显著而面临的挑战，该数据集提供了一系列分割后的NCCT图像。这些图像包含缺血核心与半暗带区域的标注信息，对于开发用于快速卒中识别与评估的机器学习模型至关重要。通过提供一份经过精心收集与标注的数据集，我们旨在促进先进诊断工具的开发，从而改善卒中管理中的患者护理与预后。本数据集的独特之处在于其专注于急性期缺血性卒中（平扫CT无显著表现），并包含一个基线模型以展示数据集的应用价值，进而鼓励医学影像与卒中诊断领域的进一步研究与创新。