Denoising and semantic segmentation of 4D datasets with undersampled micro X-ray CTs using deep learning

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Denoising and semantic segmentation of 4D datasets with undersampled micro X-ray CTs using deep learning

Over recent years, multiple imaging approaches has been proposed to depict the hidden inner structure of many different biological and non-biological systems in the form of 3D volumes. As time progressed due to multiple technological advances, these methods have become faster and more accessible, al...

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Bibliographic Details
Main Author:	Bellos, Dimitrios
Format:	Thesis (University of Nottingham only)
Language:	English
Published:	2021
Subjects:	Deep learning (Machine learning) computer vision micro X-ray Computed Tomograms (CTs)
Online Access:	https://eprints.nottingham.ac.uk/65815/

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