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Using comprehensive machine‐learning models to classify complex morphological characters
1. Recognizing and classifying multiple morphological features, such as patterns, sizes, and textures, can provide a comprehensive understanding of their variability and phenotypic evolution. Yet, quantitatively measuring complex morphological characters remains challenging. 2. We provide a machine...
| Autores principales: | , , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
| Publicado: |
John Wiley and Sons Inc.
2021
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| Materias: | |
| Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8328437/ https://www.ncbi.nlm.nih.gov/pubmed/34367585 http://dx.doi.org/10.1002/ece3.7845 |