Artificial intelligence and medical imaging

Roger Sun; Eric Deutsch; Laure Fournier

doi:10.1016/j.bulcan.2021.09.009

Artificial intelligence and medical imaging

Titre traduit de la contribution: Intelligence artificielle et imagerie médicale

Roger Sun, Eric Deutsch, Laure Fournier

Résultats de recherche: Contribution à un journal › Article 'review' › Revue par des pairs

8 Citations (Scopus)

Résumé

The use of artificial intelligence methods for image recognition is one of the most developed branches of the AI field and these technologies are now commonly used in our daily lives. In the field of medical imaging, approaches based on artificial intelligence are particularly promising, with numerous applications and a strong interest in the search for new biomarkers. Here, we will present the general methods used in these approaches as well as the potential areas of application.

Titre traduit de la contribution	Intelligence artificielle et imagerie médicale
langue originale	Anglais
Pages (de - à)	83-88
Nombre de pages	6
journal	Bulletin du Cancer
Volume	109
Numéro de publication	1
Les DOIs	https://doi.org/10.1016/j.bulcan.2021.09.009
état	Publié - 1 janv. 2022

Accès au document

10.1016/j.bulcan.2021.09.009

Autres fichiers et liens

Lien vers la publication dans Scopus

Contient cette citation

@article{9e79d64e11d34a3282ba1ab7f1308e6d,

title = "Artificial intelligence and medical imaging",

abstract = "The use of artificial intelligence methods for image recognition is one of the most developed branches of the AI field and these technologies are now commonly used in our daily lives. In the field of medical imaging, approaches based on artificial intelligence are particularly promising, with numerous applications and a strong interest in the search for new biomarkers. Here, we will present the general methods used in these approaches as well as the potential areas of application.",

keywords = "Artificial intelligence, Medical imaging, Oncology, Radiomics",

author = "Roger Sun and Eric Deutsch and Laure Fournier",

note = "Publisher Copyright: {\textcopyright} 2021 Soci{\'e}t{\'e} Fran{\c c}aise du Cancer",

year = "2022",

month = jan,

day = "1",

doi = "10.1016/j.bulcan.2021.09.009",

language = "English",

volume = "109",

pages = "83--88",

journal = "Bulletin du Cancer",

issn = "0007-4551",

number = "1",

}

TY - JOUR

T1 - Artificial intelligence and medical imaging

AU - Sun, Roger

AU - Deutsch, Eric

AU - Fournier, Laure

PY - 2022/1/1

Y1 - 2022/1/1

N2 - The use of artificial intelligence methods for image recognition is one of the most developed branches of the AI field and these technologies are now commonly used in our daily lives. In the field of medical imaging, approaches based on artificial intelligence are particularly promising, with numerous applications and a strong interest in the search for new biomarkers. Here, we will present the general methods used in these approaches as well as the potential areas of application.

AB - The use of artificial intelligence methods for image recognition is one of the most developed branches of the AI field and these technologies are now commonly used in our daily lives. In the field of medical imaging, approaches based on artificial intelligence are particularly promising, with numerous applications and a strong interest in the search for new biomarkers. Here, we will present the general methods used in these approaches as well as the potential areas of application.

KW - Artificial intelligence

KW - Medical imaging

KW - Oncology

KW - Radiomics

UR - http://www.scopus.com/inward/record.url?scp=85119251980&partnerID=8YFLogxK

U2 - 10.1016/j.bulcan.2021.09.009

DO - 10.1016/j.bulcan.2021.09.009

M3 - Review article

C2 - 34782120

AN - SCOPUS:85119251980

SN - 0007-4551

VL - 109

SP - 83

EP - 88

JO - Bulletin du Cancer

JF - Bulletin du Cancer

IS - 1

ER -