Mask, Train, Repeat! Artificial Intelligence for Quantitative Wood Anatomy

The recent developments in artificial intelligence have the potential to facilitate new research methods in ecology. Especially Deep Convolutional Neural Networks (DCNNs) have been shown to outperform other approaches in automatic image analyses. Here we apply a DCNN to facilitate quantitative wood...

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Detalles Bibliográficos
Autores principales: Resente, Giulia, Gillert, Alexander, Trouillier, Mario, Anadon-Rosell, Alba, Peters, Richard L., von Arx, Georg, von Lukas, Uwe, Wilmking, Martin
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Frontiers Media S.A. 2021
Materias:
Plant Science
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8601631/
https://www.ncbi.nlm.nih.gov/pubmed/34804101
http://dx.doi.org/10.3389/fpls.2021.767400

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8601631/
https://www.ncbi.nlm.nih.gov/pubmed/34804101
http://dx.doi.org/10.3389/fpls.2021.767400

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