Basic of machine learning and deep learning in imaging for medical physicists.
Artificial intelligence
Imaging
Machine Learning
deep Learning
Journal
Physica medica : PM : an international journal devoted to the applications of physics to medicine and biology : official journal of the Italian Association of Biomedical Physics (AIFB)
ISSN: 1724-191X
Titre abrégé: Phys Med
Pays: Italy
ID NLM: 9302888
Informations de publication
Date de publication:
Mar 2021
Mar 2021
Historique:
received:
02
12
2020
revised:
07
03
2021
accepted:
16
03
2021
pubmed:
8
4
2021
medline:
25
6
2021
entrez:
7
4
2021
Statut:
ppublish
Résumé
The manuscript aims at providing an overview of the published algorithms/automation tool for artificial intelligence applied to imaging for Healthcare. A PubMed search was performed using the query string to identify the proposed approaches (algorithms/automation tools) for artificial intelligence (machine and deep learning) in a 5-year period. The distribution of manuscript in the various disciplines and the investigated image types according to the AI approaches are presented. The limitation and opportunity of AI application in the clinical practice or in the next future research is discussed.
Identifiants
pubmed: 33826964
pii: S1120-1797(21)00143-5
doi: 10.1016/j.ejmp.2021.03.026
pii:
doi:
Types de publication
Journal Article
Review
Langues
eng
Sous-ensembles de citation
IM
Pagination
194-205Informations de copyright
Copyright © 2021. Published by Elsevier Ltd.