CPAISD: Core-Penumbra Acute Ischemic Stroke Dataset

CPAISD数据集专注于急性缺血性卒中的早期检测和分割，由Sber AI Lab和圣彼得堡第40市医院创建。该数据集包含112个非对比头颅CT扫描，每个扫描都标注了缺血核心和半影区域，用于机器学习模型的训练。数据集的创建过程涉及从2017至2020年间的患者中选择样本，并由经验丰富的放射科医生进行标注。该数据集的应用领域主要集中在提高急性缺血性卒中的诊断速度和准确性，特别是在资源有限或偏远地区的医疗环境中。

The CPAISD dataset focuses on early detection and segmentation of acute ischemic stroke, and was developed by Sber AI Lab and St. Petersburg City Hospital No. 40. It contains 112 non-contrast cranial CT scans, each annotated with ischemic core and penumbra regions for training machine learning models. The dataset was constructed by selecting patient samples from 2017 to 2020, with annotations performed by experienced radiologists. Its core application scenarios aim to improve the speed and accuracy of acute ischemic stroke diagnosis, particularly in medical settings with limited resources or remote areas.

搜集汇总

背景与挑战

背景概述

CPAISD是一个专注于急性缺血性卒中早期检测和分割的医学影像数据集，由Sber AI Lab和圣彼得堡第40市医院创建，包含112个非对比头颅CT扫描，每个扫描都标注了缺血核心和半影区域，用于机器学习模型训练。该数据集旨在提高急性缺血性卒中的诊断速度和准确性，特别适用于资源有限或偏远地区的医疗环境。