Segmentation of bones in medical dual-energy CT volumes using the 3D U-Net convolutional neural network - supplementary data
Description
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.
Resources
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Description |
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http://data.europa.eu/88u/dataset/https-doi-org-10-5878-pncd-rb34 |
Tags
- animation
- bone
- radiologi
- gif
- radiology
- ben-(benvävnader)