Synthetic Brain Arteries Dataset

该数据集是一组用于训练卷积神经网络以检测颅内动脉瘤的合成大脑动脉图像的庞大集合。它包含了254个平均半径为2.49毫米±0.82毫米的动脉瘤，这些动脉瘤是通过模拟大脑血管结构的合成模型生成的。数据集还包括了190个时间飞跃（TOF）扫描以及额外的图像，用于训练和测试，其任务是对颅内动脉瘤进行检测。

This dataset is a large collection of synthetic cerebral arterial images developed for training convolutional neural networks to detect intracranial aneurysms. It contains 254 aneurysms with an average radius of 2.49 ± 0.82 mm, which were generated using synthetic models that simulate cerebral vascular structures. Additionally, the dataset includes 190 time-of-flight (TOF) scans and supplementary images for training and testing in the task of intracranial aneurysm detection.