A study on sex estimation by using machine learning algorithms with parameters obtained from computerized tomography images of the cranium

The aim of this study is to test whether sex prediction can be made by using machine learning algorithms (ML) with parameters taken from computerized tomography (CT) images of cranium and mandible skeleton which are known to be dimorphic. CT images of the cranium skeletons of 150 men and 150 women w...

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Detalles Bibliográficos
Autores principales: Toy, Seyma, Secgin, Yusuf, Oner, Zulal, Turan, Muhammed Kamil, Oner, Serkan, Senol, Deniz
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Nature Publishing Group UK 2022
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8917237/
https://www.ncbi.nlm.nih.gov/pubmed/35277536
http://dx.doi.org/10.1038/s41598-022-07415-w

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8917237/
https://www.ncbi.nlm.nih.gov/pubmed/35277536
http://dx.doi.org/10.1038/s41598-022-07415-w

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