A workflow for segmenting soil and plant X-ray computed tomography images with deep learning in Google’s Colaboratory

X-ray micro-computed tomography (X-ray μCT) has enabled the characterization of the properties and processes that take place in plants and soils at the micron scale. Despite the widespread use of this advanced technique, major limitations in both hardware and software limit the speed and accuracy of...

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Detalles Bibliográficos
Autores principales: Rippner, Devin A., Raja, Pranav V., Earles, J. Mason, Momayyezi, Mina, Buchko, Alexander, Duong, Fiona V., Forrestel, Elizabeth J., Parkinson, Dilworth Y., Shackel, Kenneth A., Neyhart, Jeffrey L., McElrone, Andrew J.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Frontiers Media S.A. 2022
Materias:
Plant Science
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9514790/
https://www.ncbi.nlm.nih.gov/pubmed/36176692
http://dx.doi.org/10.3389/fpls.2022.893140

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9514790/
https://www.ncbi.nlm.nih.gov/pubmed/36176692
http://dx.doi.org/10.3389/fpls.2022.893140

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