Work

Deep Learning Based Computed Tomography Whys and Wherefores

Year: 2019

Type: preprint

Abstract: This is an article about the Computed Tomography (CT) and how Deep Learning influences CT reconstruction pipeline, especially in low dose scenarios.

Source: arXiv (Cornell University)

DOI: 10.48550/arxiv.1904.03908

Authors: Bazrafkan, Shabab, Van Nieuwenhove, Vincent, Soons, Joris, De Beenhouwer, Jan, Sijbers, Jan

Institutions: University of Antwerp, Agfa-Gevaert (Belgium)

Language: English

Topic: Medical Imaging Techniques and Applications

Subfield: Radiology, Nuclear Medicine and Imaging

Field: Medicine

Domain: Health Sciences

Open Access status: green

Funder: Agentschap Innoveren en Ondernemen

OpenAlex ID: W2929027103

Cites: 46

Cited by: 9

Related to: 20