Segmentation of bones in medical dual-energy CT volumes using the 3D U-Net convolutional neural network - supplementary data
SND-ID: 2024-249. Version: 1. DOI: https://doi.org/10.5878/pncd-rb34
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Creator/Principal investigator(s)
José Carlos González Sánchez - Linköping University
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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.
The dataset was originally published in DiVA and moved to SND in 2024.
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Computer science (Standard för svensk indelning av forskningsämnen 2011)
Radiology, nuclear medicine and medical imaging (Standard för svensk indelning av forskningsämnen 2011)
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