Semantic segmentation of plant roots from RGB (mini-) rhizotron images—generalisation potential and false positives of established methods and advanced deep-learning models

BACKGROUND: Manual analysis of (mini-)rhizotron (MR) images is tedious. Several methods have been proposed for semantic root segmentation based on homogeneous, single-source MR datasets. Recent advances in deep learning (DL) have enabled automated feature extraction, but comparisons of segmentation...

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Detalles Bibliográficos
Autores principales: Baykalov, Pavel, Bussmann, Bart, Nair, Richard, Smith, Abraham George, Bodner, Gernot, Hadar, Ofer, Lazarovitch, Naftali, Rewald, Boris
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2023
Materias:
Methodology
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10629126/
https://www.ncbi.nlm.nih.gov/pubmed/37932745
http://dx.doi.org/10.1186/s13007-023-01101-2

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10629126/
https://www.ncbi.nlm.nih.gov/pubmed/37932745
http://dx.doi.org/10.1186/s13007-023-01101-2

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