Segmentation of bones in medical dual-energy CT volumes using the 3D U-Net convolutional neural network - supplementary data
https://doi.org/10.5878/pncd-rb34
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.
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- José Carlos González Sánchez – Linköping University
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Linköping University