Deep learning tomographic reconstruction through hierarchical decomposition of domain transforms

Abstract Deep learning (DL) has shown unprecedented performance for many image analysis and image enhancement tasks. Yet, solving large-scale inverse problems like tomographic reconstruction remains challenging for DL. These problems involve non-local and space-variant integral transforms between th...

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Bibliographic Details

Published in:	Visual Computing for Industry, Biomedicine, and Art
Main Authors:	Lin Fu, Bruno De Man
Format:	Article
Language:	English
Published:	SpringerOpen 2022-12-01
Subjects:	Computed tomography Image reconstruction Deep learning Hierarchical
Online Access:	https://doi.org/10.1186/s42492-022-00127-y