Basic of machine learning and deep learning in imaging for medical physicists.


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
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

194-205

Informations de copyright

Copyright © 2021. Published by Elsevier Ltd.

Auteurs

Luigi Manco (L)

A.O. U. di Modena, Medical Physics Unit, Modena, Italy.

Nicola Maffei (N)

A.O. U. di Modena, Medical Physics Unit, Modena, Italy.

Silvia Strolin (S)

IRCCS Azienda Ospedaliera Universitaria di Bologna, Medical Physics Department, Bologna, Italy.

Sara Vichi (S)

IRCCS Azienda Ospedaliera Universitaria di Bologna, Medical Physics Department, Bologna, Italy.

Luca Bottazzi (L)

University of Modena and Reggio Emilia, Physics Department, Modena, Italy.

Lidia Strigari (L)

IRCCS Azienda Ospedaliera Universitaria di Bologna, Medical Physics Department, Bologna, Italy. Electronic address: lidia.strigari@aosp.bo.it.

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Classifications MeSH