Computed-aided diagnosis (CAD) in the detection of breast cancer

Détails

ID Serval
serval:BIB_60A4A91C1D47
Type
Article: article d'un périodique ou d'un magazine.
Sous-type
Synthèse (review): revue aussi complète que possible des connaissances sur un sujet, rédigée à partir de l'analyse exhaustive des travaux publiés.
Collection
Publications
Titre
Computed-aided diagnosis (CAD) in the detection of breast cancer
Périodique
Eur J Radiol
Auteur(s)
Dromain C., Boyer B., Ferre R., Canale S., Delaloge S., Balleyguier C.
ISSN-L
1872-7727 (Electronic)0720-048X (Linking)
Statut éditorial
Publié
Date de publication
2013
Peer-reviewed
Oui
Volume
82
Numéro
3
Pages
417-23
Langue
anglais
Notes
Dromain, CBoyer, BFerre, RCanale, SDelaloge, SBalleyguier, CengReviewIreland2012/09/04 06:00Eur J Radiol. 2013 Mar;82(3):417-23. doi: 10.1016/j.ejrad.2012.03.005. Epub 2012 Aug 30.
Résumé
Computer-aided detection (CAD) systems have been developed for interpretation to improve mammographic detection of breast cancer at screening by reducing the number of false-negative interpretation that can be caused by subtle findings, radiologist distraction and complex architecture. They use a digitized mammographic image that can be obtained from both screen-film mammography and full field digital mammography. Its performance in breast cancer detection is dependent on the performance of the CAD itself, the population to which it is applied and the radiologists who use it. There is a clear benefit to the use of CAD in less experienced radiologist and in detecting breast carcinomas presenting as microcalcifications. This review gives a detailed description CAD systems used in mammography and their performance in assistance of reading in screening mammography and as an alternative to double reading. Other CAD systems developed for MRI and ultrasound are also presented and discussed.
Mots-clé
*Algorithms, Artificial Intelligence, Breast Neoplasms/*diagnosis, Female, Humans, Image Enhancement/methods, Image Interpretation, Computer-Assisted/*methods, Magnetic Resonance Imaging/*methods, Mammography/*methods, Pattern Recognition, Automated/*methods, Reproducibility of Results, Sensitivity and Specificity
Création de la notice
16/09/2016 11:14
Dernière modification de la notice
20/08/2019 15:18
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