ArticleComputational and mathematical methods in medicine2013
Automatic sex determination of skulls based on a statistical shape model.
Article in Computational and mathematical methods in medicine, 2013. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.
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Who cites it
7 citing papers in PubMed, 37 citations in OpenAlex.
- Role of mandibular anatomical structures in sexual dimorphism in Turkish population: a radiomorphometric CBCT study.The Journal of forensic odonto-stomatology · 2022Article
- The Diagnostic Value of 3-dimensional Computerized Tomography (3D-CT) Scan Indicators of Mandible Bone in Sex Determination of Selected Individuals in Tehran.Medical journal of the Islamic Republic of Iran · 2022Article
- Advanced procedures for skull sex estimation using sexually dimorphic morphometric features.International journal of legal medicine · 2020Article
- Beyond Human Perception: Sexual Dimorphism in Hand and Wrist Radiographs Is Discernible by a Deep Learning Model.Journal of digital imaging · 2019Article
- Sex Determination of 3D Skull Based on a Novel Unsupervised Learning Method.Computational and mathematical methods in medicine · 2018Article
- Use of pattern recognition and neural networks for non-metric sex diagnosis from lateral shape of calvarium: an innovative model for computer-aided diagnosis in forensic and physical anthropology.International journal of legal medicine · 2017Article
- [Skull-facial anthropometric traits of forensic odontological interest for estimating sex, race and age. Review of the literature].Revista cientifica odontologica (Universidad Cientifica del Sur)Review
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Authors and funding
7 authors at 2 institutions in 2 countries.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Sex determination from skeletons is an important research subject in forensic medicine. Previous skeletal sex assessments are through subjective visual analysis by anthropologists or metric analysis of sexually dimorphic features. In this work, we present an automatic sex determination method for 3D digital skulls, in which a statistical shape model for skulls is constructed, which projects the high-dimensional skull data into a low-dimensional shape space, and Fisher discriminant analysis is used to classify skulls in the shape space. This method combines the advantages of metrical and morphological methods. It is easy to use without professional qualification and tedious manual measurement. With a group of Chinese skulls including 127 males and 81 females, we choose 92 males and 58 females to establish the discriminant model and validate the model with the other skulls. The correct rate is 95.7% and 91.4% for females and males, respectively. Leave-one-out test also shows that the method has a high accuracy.
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