Cargando…
3D U-Net Segmentation Improves Root System Reconstruction from 3D MRI Images in Automated and Manual Virtual Reality Work Flows
Magnetic resonance imaging (MRI) is used to image root systems grown in opaque soil. However, reconstruction of root system architecture (RSA) from 3-dimensional (3D) MRI images is challenging. Low resolution and poor contrast-to-noise ratios (CNRs) hinder automated reconstruction. Hence, manual rec...
Autores principales: | Selzner, Tobias, Horn, Jannis, Landl, Magdalena, Pohlmeier, Andreas, Helmrich, Dirk, Huber, Katrin, Vanderborght, Jan, Vereecken, Harry, Behnke, Sven, Schnepf, Andrea |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
AAAS
2023
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10381537/ https://www.ncbi.nlm.nih.gov/pubmed/37519934 http://dx.doi.org/10.34133/plantphenomics.0076 |
Ejemplares similares
-
Root System Scale Models Significantly Overestimate Root Water Uptake at Drying Soil Conditions
por: Khare, Deepanshu, et al.
Publicado: (2022) -
Mechanistic modeling of pesticide uptake with a 3D plant architecture model
por: Jorda, Helena, et al.
Publicado: (2021) -
Unraveling the hydrodynamics of split root water uptake experiments using CT scanned root architectures and three dimensional flow simulations
por: Koebernick, Nicolai, et al.
Publicado: (2015) -
Development and Validation of a Deep Learning Based Automated Minirhizotron Image Analysis Pipeline
por: Bauer, Felix Maximilian, et al.
Publicado: (2022) -
3D bi-directional transformer U-Net for medical image segmentation
por: Fu, Xiyao, et al.
Publicado: (2023)