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Neural network methods for radiation detectors and imaging
Recent advances in image data proccesing through deep learning allow for new
optimization and performance-enhancement schemes for radiation detectors and imaging …
optimization and performance-enhancement schemes for radiation detectors and imaging …
Development of a low-dose strategy for propagation-based imaging helical computed tomography (PBI-HCT): high image quality and reduced radiation dose
Background. Propagation-based imaging computed tomography (PBI-CT) has been recently
emerging for visualizing low-density materials due to its excellent image contrast and high …
emerging for visualizing low-density materials due to its excellent image contrast and high …
Deep Convolutional Denoising for MicroCT: A Self-Supervised Approach
D Karlström - 2024 - diva-portal.org
Microtomography, or microCT, is an x-ray imaging modality that provides volumetric data of
an object's internal structure with microscale resolution, making it suitable for scanning …
an object's internal structure with microscale resolution, making it suitable for scanning …