Proximal Neural Networks based reconstruction for few-view CT applications

Proximal Neural Networks based reconstruction for few-view CT applications

This paper addresses the challenge of tomographic reconstruction from a limited number of views by using learning-based approaches. Recent advancements in Plug-and-Play (PnP) algorithms have shown promise for solving imaging inverse problems by utilizing the capabilities of Gaussian denoising algor...

Full description

Saved in:
Bibliographic Details
Main Authors: Hoang Trieu Vy Le, Caroline Bossuyt, Julie Escoda, Marius Costin, Jan De Beenhouwer, Jan Sijbers
Format: Article
Language:deu
Published: NDT.net 2025-02-01
Series:e-Journal of Nondestructive Testing
Online Access:https://www.ndt.net/search/docs.php3?id=30770
Tags: Add Tag
No Tags, Be the first to tag this record!

Similar Items

Similar Items