Segmentation of bones in medical dual-energy CT volumes using the 3D U-Net convolutional neural network - supplementary data Segmentation of bones in medical dual-energy CT volumes using the 3D U-Net convolutional neural network - supplementary data 2024-249-1 https://doi.org/10.5878/pncd-rb34 Swedish National Data Service Svensk nationell datatjänst Landing page Segmentation of bones in medical dual-energy CT volumes using the 3D U-Net convolutional neural network - supplementary data Segmentation of bones in medical dual-energy CT volumes using the 3D U-Net convolutional neural network - supplementary data 2024-249-1 https://doi.org/10.5878/pncd-rb34 González Sánchez, José Carlos González Sánchez, José Carlos Swedish National Data Service Svensk nationell datatjänst Landing page animation animation bone ben (vävnader) radiology radiologi GIF GIF 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. Data innehåller animerade GIF-filer som visar resultaten av bensegmentering. Se engelsk beskrivning för mer info. Datasetet har ursprungligen publicerats i DiVA och flyttades över till SND 2024. Other Access to data through SND. Data are freely accessible. Åtkomst till data via SND. Data är fritt tillgängliga. openAccess