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Data · dataset · 2018

Segmentation of bones in medical dual-energy CT volumes using the 3D U-Net convolutional neural network - supplementary data

Listed in Researchdata.se

The data archives contain animated GIFs showing the results of bone segmentation.

Description

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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Where it is published

Catalogue records · 1

Topics

Inferred from text
Computed tomography 50%
Provenance · 1 source records, 9 field assertions
SourceKeyLast seenRaw
Researchdata.seoai:researchdata.se:2024-249/112 d agoJSON v1
FieldAssertionExtractorEvidence
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concepts[field].local:field:earth-environmentalmapping · researchdata seconnector:researchdata_se@1.0.0
concepts[field].local:field:medicine-healthmapping · researchdata seconnector:researchdata_se@1.0.0
concepts[modality].local:modality:ctenrichment · researchdata sekeyword-concept-rules@1.0.0title+description (50%)
descriptionsource · researchdata seconnector:researchdata_se@1.0.0/metadata/dc/description
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