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资源简介：
DIAS: DSA-sequence Intracranial Artery Segmentation
应用场景：
创建时间：
2024-06-13
相关数据集
DIAS
DIAS数据集是由北京邮电大学人工智能学院创建，专门用于DSA序列中的颅内动脉分割。该数据集包含120个序列，共计753帧高分辨率（800×800像素）图像，涵盖了从4到14帧的不同长度序列。数据集的创建过程涉及由神经外科医生对像素级别进行细致标注，确保了数据的高质量和准确性。DIAS数据集的应用领域包括计算机辅助的卒中研究和临床实践，特别是在量化血管形态学方面发挥关键作用。
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MIDAS-I
该数据集是从MIDAS数据集中筛选出来的一个子集，包含了50个手动标记的磁共振血管成像（MRA）中的颅内动脉注释。每个原始数据的核心区域被裁剪成了224×208×64的大小。该数据集的规模为50个注释过的体积，其任务是进行颅内动脉分割。
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Data supporting the paper “Continuous wavelet transform in the study of the time-scale properties of intracranial pressure in hydrocephalus”
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