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Article Title: Sexing Caucasian 2D footprints using convolutional neural networks
Funding: The authors received no specific funding for this work.
Competing Interests: The authors have declared that no competing interests exist.
Article URL: https://journals.plos.org/plosone/article?id=10.1371/journal.pone.0255630
PLOS ONE
Experimental study
People
Sexing Caucasian 2D footprints using convolutional neural networks
18-Aug-2021
The authors have declared that no competing interests exist.