Synthetic Cellular Microstructures Dataset
收藏arXiv2023-12-06 更新2024-08-06 收录
下载链接：
http://arxiv.org/abs/2312.03133v1
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资源简介：
本研究创建的Synthetic Cellular Microstructures Dataset包含1000个多样化的初始骨样微结构，这些数据是通过HetMiGen程序虚拟生成的。数据集以3D矩阵或3D体素化图像的形式存储，记录了在微重力条件下人工生成的骨微结构的退化过程，时间跨度最长为36个月。每个数据点存储在MATLAB的.mat文件中，第四维度表示时间。该数据集主要用于训练TransVNet模型，预测和可视化骨退化，特别适用于太空探索和实验任务，旨在解决长期微重力环境下骨密度损失的问题。
The Synthetic Cellular Microstructures Dataset developed in this study comprises 1,000 diverse initial bone-like microstructures, which were computationally generated via the HetMiGen program. This dataset is stored as either 3D matrices or 3D voxelized images, documenting the degradation process of artificially produced bone microstructures under microgravity conditions over a time span of up to 36 months. Each data sample is stored in a MATLAB .mat file, where the fourth dimension represents time. This dataset is primarily utilized for training the TransVNet model to predict and visualize bone degradation, and is specifically tailored for space exploration and experimental tasks, aiming to address the issue of bone mineral density loss under long-term microgravity environments.
提供机构：
爱荷华州立大学创建时间：
2023-12-06
