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

ABSTRACT: Thanks 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 fo

SUBMITTER: Kuchar M 

PROVIDER: S-EPMC11490455 | biostudies-literature | 2024 Nov

REPOSITORIES: biostudies-literature