Exploratory analysis of new craniometric measures for the investigation of biological sex using open-access statistical and machine-learning tools on a cone-beam computed tomography sample
Author:
Funder
Coordenação de Aperfeiçoamento de Pessoal de Nível Superior
Publisher
Springer Science and Business Media LLC
Link
https://link.springer.com/content/pdf/10.1007/s00414-024-03259-3.pdf
Reference32 articles.
1. AmorimNeta EP, De Medeiros YR, Torres IP, Souza FDO, De Melo SS, Cegolini A, De Almeida Jr E, Ferreira ÉDO (2022) Análise do dimorfismo sexual por meio de mensurações lineares na base de crânios secos de adultos: analysis of sexual dimorphism by means of linear measurements at the base of dry adult skulls. Stud Health Sci 3(4):1634–1646. https://doi.org/10.54022/shsv3n4-004
2. Barros FD, Fernandes CMDS, Kuhnen B, Scarso Filho J, Gonçalves M, Gonçalves V, Serra MDC (2022) Three-dimensional analysis of the maxillary sinus according to sex, age, skin color, and nutritional status: a study with live Brazilian subjects using cone-beam computed tomography. Arch Oral Biol 139:105435. https://doi.org/10.1016/j.archoralbio.2022.105435
3. Bertsatos A, Christaki A, Chovalopoulou M-E (2019) Testing the reliability of 3D-ID software in sex and ancestry estimation with a modern Greek sample. Forensic Sci Int 297:132–137. https://doi.org/10.1016/j.forsciint.2019.02.004
4. Birkby WH (1966) An evaluation of race and sex identification from cranial measurements. Am J Phys Anthropol 24(1):21–27. https://doi.org/10.1002/ajpa.1330240103
5. Callegari-Jacques SM, Grattapaglia D, Salzano FM, Salamoni SP, Crossetti SG, Ferreira ME, Hutz MH (2003) Historical genetics: Spatiotemporal analysis of the formation of the Brazilian population. Am J Hum Biol 15(6):824–834. https://doi.org/10.1002/ajhb.10217
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