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Data · dataset · 2021

CT of normal skulls in three categories (Female, Male, Mixed)

Listed in Researchdata.se

The data contains 300 skulls.

Description

The data is divided into three groups with 100 scans in three categories Females, Males, and Mix. The purpose of the project was to generate a machine learning algorithm to be able reconstruct missing parts of the skull for cranioplasty.

Each scan was verified to ensure normal skull shape. To ensure data privacy the faces have been deblurred with an in-house developed algorithm.

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Where it is published

Catalogue records · 1

Topics

Inferred from text
Computed tomography 50%
Provenance · 1 source records, 8 field assertions
SourceKeyLast seenRaw
Researchdata.seoai:researchdata.se:doi-10-23698-aida-ctskull/013 d agoJSON v1
FieldAssertionExtractorEvidence
access_levelsource · researchdata seconnector:researchdata_se@1.0.0
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
license_textsource · researchdata seconnector:researchdata_se@1.0.0
publication_datesource · researchdata seconnector:researchdata_se@1.0.0
titlesource · researchdata seconnector:researchdata_se@1.0.0/metadata/dc/title