EPVS and Lacunes Segmentation Dataset

该数据集包含了16名受试者手动分割的扩大周围血管间隙（EPVS）和小腔，重点关注心血管风险因素与大脑健康之间的关系。数据集包括由六名训练过的评分员分类的4147个分割对象，评分员之间的准确性从0.47到0.92不等。其中，2202个对象被用于大脑病变对象的检测和分类任务。

This dataset contains 4147 manually segmented objects of Enlarged Perivascular Spaces (EPVS) and small lacunes, which were processed by 16 participants. The primary focus of this dataset is on the association between cardiovascular risk factors and brain health. These objects were classified by six trained raters, and the inter-rater accuracy ranges from 0.47 to 0.92. Of these, 2202 objects were utilized for the detection and classification tasks of cerebral lesions.