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Analysis of the performance of machine learning and deep learning methods for sex estimation of infant individuals from the analysis of 2D images of the ilium

Crossref DOI link: https://doi.org/10.1007/s00414-021-02660-6

Published Online: 2021-07-16

Published Print: 2021-11

Update policy: https://doi.org/10.1007/springer_crossmark_policy

Authors

Ortega, Raúl Fernández

Irurita, Javier https://orcid.org/0000-0003-1676-9773
Campo, Enrique José Estévez

Mesejo, Pablo
Funding

Funding for this research was provided by:

Ministerio de Ciencia, Innovación y Universidades (EXASOCO PGC2018-101216-B-I00, PTQ2019-010550)

Junta de Andalucía (EXAISFI P18-FR-4262)

H2020-MSCA-IF (746592)
License Information

Text and Data Mining valid from 2021-07-16

Version of Record valid from 2021-07-16
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Article History

Received: 21 January 2021

Accepted: 2 July 2021

First Online: 16 July 2021

Declarations

:

: Ethical approval was granted by the Ethics Committee of the University of Granada. For this type of study, formal consent is not required.

: The authors declare no competing interests.

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