2 papers
eess.IV2024
μ-Net: A Deep Learning-Based Architecture for μ-CT Segmentation
Pierangela Bruno, Edoardo De Rose, Carlo Adornetto +12
X-ray computed microtomography (μ-CT) is a non-destructive technique that can generate high-resolution 3D images of the internal anatomy of medical and biological samples. These im…
physics.optics2022
X-ray computed -tomography for the characterization of optical fibers
Mario Ferraro, Maria C. Crocco, Fabio Mangini +11
In spite of their ubiquitous applications, the characterization of glass fibers by means of all-optical techniques is still facing some limitations. Recently, X-ray absorption has…