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

Name: Segmentation of bones in medical dual-energy CT volumes using the 3D U-Net convolutional neural network - supplementary data
Creator: Linköping University
Published: 2025-09-22 09:53:56
License: 暂无描述

DataCite Commons2025-09-22 更新2024-07-13 收录

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https://researchdata.se/catalogue/dataset/2024-249

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资源简介：

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.

提供机构：

Linköping University

创建时间：

2024-06-27