AxonCallosumEM
收藏arXiv2023-07-06 更新2024-08-06 收录
下载链接：
http://arxiv.org/abs/2307.02464v1
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资源简介：
AxonCallosumEM数据集是由苏州大学电子信息工程学院创建，专注于电子显微镜（EM）图像中胼胝体全横截面中轴突的语义分割。该数据集包含从Rett综合征（RTT）小鼠模型中捕获的1.83×5.76mm EM图像，详细记录了超过600,000个1024×1024分辨率的补丁，提供了对有髓轴突和髓鞘鞘的全面基础真相。数据集分为三个不同的区域进行训练、测试和验证，支持开发和评估胼胝体整体重建的方法。该数据集的应用领域包括神经科学研究，旨在解决轴突和髓鞘鞘复杂形态的准确重建问题。
The AxonCallosumEM Dataset was constructed by the School of Electronic and Information Engineering, Soochow University, targeting semantic segmentation of axons in full cross-sections of the corpus callosum from electron microscopy (EM) images. The dataset comprises 1.83 × 5.76 mm EM images acquired from a Rett syndrome (RTT) mouse model, with over 600,000 1024 × 1024 resolution patches fully annotated to offer comprehensive ground truth for myelinated axons and myelin sheaths. It is split into three disjoint subsets for training, testing, and validation, facilitating the development and benchmarking of methods for global corpus callosum reconstruction. This dataset finds applications in neuroscience research, where it addresses the challenge of accurately reconstructing the complex morphologies of axons and myelin sheaths.
提供机构：
苏州大学电子信息工程学院
创建时间：
2023-07-06
