Segmentation of bones in medical dual-energy CT volumes using the 3D U-Net convolutional neural network - supplementary data

The data archives contain animated GIFs showing the results of bone segmentation. The algorithm_comparison.rar archive shows the ground truth and results obtained using the JJ2016 and 3D-Unet algorithms. The DECT_comparison.rar archive shows the difference between results obtained from mixed and DECT volumes for the 3D-Unet algorithm. More information is in the report Segmentation of bones in medical dual-energy CT volumes using the 3D U-Net convolutional neural network by José Carlos González Sánchez.

The dataset was originally published in DiVA and moved to SND in 2024.

搜集汇总

背景与挑战

背景概述

该数据集是医学双能量CT体积中骨分割研究的补充数据，包含动画GIF文件，用于展示和比较3D U-Net卷积神经网络与其他算法的骨分割结果。数据集发布于2018年，由Linköping University提供，数据可公开访问，主要应用于计算机科学和医学影像领域，支持算法性能评估和影像分析研究。