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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Autores principales: Giulia Resente, Alexander Gillert, Mario Trouillier, Alba Anadon-Rosell, Richard L. Peters, Georg von Arx, Uwe von Lukas, Martin Wilmking
Formato: article
Lenguaje:EN
Publicado: Frontiers Media S.A. 2021
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Acceso en línea:https://doaj.org/article/5dc098263318426dbb165835eb7a1342
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