Neural network helps augment 3D micro-CT images of fibrous materials

Researchers from Skoltech and KU Leuven have used machine learning to help reconstruct three-dimensional micro-CT images of fibrous materials. This task, which is required for the advanced analysis of these materials, is extremely difficult and tedious for humans. The paper was published in the journal Computational Materials Science.

from News on Artificial Intelligence and Machine Learning https://ift.tt/3mcyWPO
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