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A Registration and Deep Learning Approach to Automated Landmark Detection for Geometric Morphometrics

Geometric morphometrics is the statistical analysis of landmark-based shape variation and its covariation with other variables. Over the past two decades, the gold standard of landmark data acquisition has been manual detection by a single observer. This approach has proven accurate and reliable in...

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Detalhes bibliográficos
Publicado no:Evol Biol
Main Authors: Devine, Jay, Aponte, Jose D., Katz, David C., Liu, Wei, Lo Vercio, Lucas D., Forkert, Nils D., Marcucio, Ralph, Percival, Christopher J., Hallgrímsson, Benedikt
Formato: Artigo
Idioma:Inglês
Publicado em: 2020
Assuntos:
Acesso em linha:https://ncbi.nlm.nih.gov/pmc/articles/PMC7880197/
https://ncbi.nlm.nih.gov/pubmed/33583965
https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1007/s11692-020-09508-8
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