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Artificial intelligence, machine (deep) learning and radio(geno)mics: definitions and nuclear medicine imaging applications.

Authors :
Visvikis D
Cheze Le Rest C
Jaouen V
Hatt M
Source :
European journal of nuclear medicine and molecular imaging [Eur J Nucl Med Mol Imaging] 2019 Dec; Vol. 46 (13), pp. 2630-2637. Date of Electronic Publication: 2019 Jul 06.
Publication Year :
2019

Abstract

Techniques from the field of artificial intelligence, and more specifically machine (deep) learning methods, have been core components of most recent developments in the field of medical imaging. They are already being exploited or are being considered to tackle most tasks, including image reconstruction, processing (denoising, segmentation), analysis and predictive modelling. In this review we introduce and define these key concepts and discuss how the techniques from this field can be applied to nuclear medicine imaging applications with a particular focus on radio(geno)mics.

Details

Language :
English
ISSN :
1619-7089
Volume :
46
Issue :
13
Database :
MEDLINE
Journal :
European journal of nuclear medicine and molecular imaging
Publication Type :
Academic Journal
Accession number :
31280350
Full Text :
https://doi.org/10.1007/s00259-019-04373-w