Sparse Layered Graphs for Multi-Object Segmentation (data)

Data for CVPR 2020 paper Sparse Layered Graphs for Multi-Object Segmentation.Related notebooks can be found here:http://doi.org/10.11583/DTU.12016941data.zipContains images used in the notebooks and paper experiments.NT32_tomo3_.rawThis is a micro-CT scan of hand nerves used in the paper. The volume is 2048x2048x2048 uint16.NT32_cLineLabel_scale4_preSegm_v3.nii.gzThis is a segmentation of the center lines of 216 nerves in the NT32 scan. The segmentation is made at four times lower resolution than NT32_tomo3_.raw and has a size of 512x512x512.The NT32 dataset was previously used in the paper Three-dimensional architecture of human diabetic peripheral nerves revealed by X-ray phase contrast holographic nanotomography.

本数据集为CVPR 2020论文《稀疏分层图在多对象分割中的应用》提供的数据。相关笔记本可在此处找到：http://doi.org/10.11583/DTU.12016941data.zip。包含笔记本和论文实验中所使用的图像。NT32_tomo3_.raw：这是论文中使用的手部神经的微CT扫描图像。该体积为2048x2048x2048的uint16格式。NT32_cLineLabel_scale4_preSegm_v3.nii.gz：这是对NT32扫描中216根神经中心线的分割，分割分辨率是NT32_tomo3_.raw的四分之一，尺寸为512x512x512。NT32数据集曾在论文《通过X射线相位对比全息纳米断层扫描揭示的人体糖尿病周围神经的三维结构》中得到应用。