Abstract: Digital pathology diagnosis systems face significant domain shift problems that hinder their performance on new datasets. Existing methods for aligning digital pathology images from ...
Deformation occurs universally across nature and engineering, critical for safety and performance in structures and biomedical applications. Digital Image Correlation (DIC) is an optical technique ...
The methodology for fatigue crack growth (fcg) experiments has not changed for decades and usually still relies on the concept that a theoretical stress intensity factor is calculated with respect to ...
A DIC network developed based on GMFlow for high accuracy measurement of deformation. Different from previous models that directly establish the relationship between grayscale value changes and the ...
Temporally and spatially complex 3D deformation processes appear in plants in a variety of ways and are difficult to quantify in detail by classical cinematographic methods. Furthermore, many ...
Solving digital image correlation with neural networks constrained by strain-displacement relations.
The use of supervised neural networks is a new approach to solving digital image correlation (DIC) problems, but the existing methods solely adopt the black-box neural network, i.e., the mapping from ...
Terrestrial time-lapse photogrammetry is a rapidly growing method for deriving measurements from glacial environments because it provides high spatio-temporal resolution records of change. Currently, ...
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