2026-10-13 https://api.researchdata.se/oai-pmh

oai:researchdata.se:2024-249/1 2024-06-27 subject:ssif:10201 subject:ssif:30208 subject:ssif:102 subject:ssif:302 subject:ssif:1 subject:ssif:3 principal:slug:linkoping-university

info:eu-repo/semantics/other http://purl.org/dc/dcmitype/Dataset https://doi.org/10.5878/pncd-rb34 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 José Carlos González Sánchez Computer Sciences Datavetenskap (datalogi) Radiology and Medical Imaging Radiologi och bildbehandling 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. info:eu-repo/semantics/openAccess Linköping University Linköpings universitet 2018-09-07T00:00:00Z eng