Toward improved image‐based root phenotyping: handling temporal and cross‐site domain shifts in crop root segmentation models
Crop root segmentation models developed through deep learning have increased the
throughput of in situ crop phenotyping studies. However, models trained to identify roots in …
throughput of in situ crop phenotyping studies. However, models trained to identify roots in …
New interactive machine learning tool for marine image analysis
Advancing imaging technologies are drastically increasing the rate of marine video and
image data collection. Often these datasets are not analysed to their full potential as …
image data collection. Often these datasets are not analysed to their full potential as …
[HTML][HTML] Sparse-View Artifact Correction of High-Pixel-Number Synchrotron Radiation CT
M Huang, G Li, R Sun, J Zhang, Z Wang, Y Wang… - Applied Sciences, 2024 - mdpi.com
High-pixel-number synchrotron radiation computed tomography (CT) has the advantages of
high sensitivity, high resolution, and a large field of view. It has been widely used in …
high sensitivity, high resolution, and a large field of view. It has been widely used in …
[PDF][PDF] Machine Learning Enhancement of Micro-CT Based Micromechanics of Composite Materials
The development, design, and optimisation of composite materials require accurate material
characterisation and modelling of their mechanical behaviour. Accurate models are critical …
characterisation and modelling of their mechanical behaviour. Accurate models are critical …