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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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| Publicat a: | Evol Biol |
|---|---|
| Autors principals: | , , , , , , , , |
| Format: | Artigo |
| Idioma: | Inglês |
| Publicat: |
2020
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| Matèries: | |
| Accés en línia: | 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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