Repository logo
 
Publication

Automatic variable extraction from 3D coxal bone models for sex estimation using the DSP2 method

2024Journal article Open access
Simple item page
dc.contributor.authorKuchař, Michal
dc.contributor.authorPilmann Kotěrová, Anežka
dc.contributor.authorMorávek, Alexander
dc.contributor.authorSantos, Frédéric
dc.contributor.authorHarnádková, Katarína
dc.contributor.authorHenyš, Petr
dc.contributor.authorCunha, Eugénia
dc.contributor.authorBrůžek, Jaroslav
dc.date.accessioned2024-10-29T15:13:59Z
dc.date.available2024-10-29T15:13:59Z
dc.date.issued2024
dc.description.abstractThanks to technical progress and the availability of virtual data, sex estimation methods as part of a biological profile are undergoing an inevitable evolution. Further reductions in subjectivity, but potentially also in measurement errors, can be brought by approaches that automate the extraction of variables. Such automatization also significantly accelerates and facilitates the specialist’s work. The aim of this study is (1) to apply a previously proposed algorithm (Kuchař et al. 2021) to automatically extract 10 variables used for the DSP2 sex estimation method, and (2) to test the robustness of the new automatic approach in a current heterogeneous population. For the first aim, we used a sample of 240 3D scans of pelvic bones from the same individuals, which were measured manually for the DSP database. For the second aim a sample of 108 pelvic bones from the New Mexico Decedent Image Database was used. The results showed high agreement between automatic and manual measurements with rTEM below 5% for all dimensions except two. The accuracy of final sex estimates based on all 10 variables was excellent (error rate 0.3%). However, we observed a higher number of undetermined individuals in the Portuguese sample (25% of males) and the New Mexican sample (36.5% of females). In conclusion, the procedure for automatic dimension extraction was successfully applied both to a different type of data and to a heterogeneous population.pt_PT
dc.description.sponsorshipOpen access publishing supported by the National Technical Library in Praguept_PT
dc.description.versioninfo:eu-repo/semantics/publishedVersionpt_PT
dc.identifier.citationKuchař, M., Pilmann Kotěrová, A., Morávek, A., Santos, F., Harnádková, K., Henyš, P., Cunha, E., & Brůžek, J. (2024). Automatic variable extraction from 3D coxal bone models for sex estimation using the DSP2 method. International journal of legal medicine, 138(6), 2647–2658.pt_PT
dc.identifier.doi10.1007/s00414-024-03301-4pt_PT
dc.identifier.issn1437-1596
dc.identifier.urihttp://hdl.handle.net/10400.26/52659
dc.language.isoengpt_PT
dc.peerreviewedyespt_PT
dc.publisherSpringerpt_PT
dc.rights.urihttp://creativecommons.org/licenses/by/4.0/pt_PT
dc.subjectAutomatic variables extractionpt_PT
dc.subjectDSP2 Methodpt_PT
dc.subjectSex Estimationpt_PT
dc.subjectSurface Modelspt_PT
dc.subjectForensic Anthropologypt_PT
dc.titleAutomatic variable extraction from 3D coxal bone models for sex estimation using the DSP2 methodpt_PT
dc.typejournal article
dspace.entity.typePublication
oaire.citation.endPage2658pt_PT
oaire.citation.issue6pt_PT
oaire.citation.startPage2647pt_PT
oaire.citation.titleInternational Journal of Legal Medicinept_PT
oaire.citation.volume138pt_PT
person.familyNameCunha
person.givenNameEugénia
person.identifierhttps://scholar.google.pt/citations?user=HSGHLA0AAAAJ&hl=en
person.identifier.ciencia-idE717-5464-E13B
person.identifier.orcid0000-0003-2998-371X
person.identifier.scopus-author-id190305008042
rcaap.rightsopenAccesspt_PT
rcaap.typearticlept_PT
relation.isAuthorOfPublication32c59c7d-e7f2-4023-91a0-677db952e161
relation.isAuthorOfPublication.latestForDiscovery32c59c7d-e7f2-4023-91a0-677db952e161

Files

Original bundle
Now showing 1 - 1 of 1
Thumbnail Image
Name:
Automatic variable extraction from 3D coxal bone models for sex estimation.pdf
Size:
3.24 MB
Format:
Adobe Portable Document Format
Download
License bundle
Now showing 1 - 1 of 1
No Thumbnail Available
Name:
license.txt
Size:
1.85 KB
Format:
Item-specific license agreed upon to submission
Description:
Download

Collections

INMLCF - Artigos Científicos