Artificial Intelligence in BI-RADS Categorization of Breast Lesions on Ultrasound: Can We Omit Excessive Follow-ups and Biopsies?

Sadeleştirilmiş öğe sayfası
dc.contributor.authorGuldogan, Nilgun
dc.contributor.authorTaskin, Fusun
dc.contributor.authorIcten, Gul Esen
dc.contributor.authorYilmaz, Ebru
dc.contributor.authorTurk, Ebru Banu
dc.contributor.authorErdemli, Servet
dc.contributor.authorParlakkilic, Ulku Tuba
dc.contributor.authorTurkoglu, Ozlem
dc.contributor.authorAribal, Erkin
dc.date.accessioned2025-10-16T15:13:01Z
dc.date.issued2024
dc.identifier.doi10.1016/j.acra.2023.11.031
dc.identifier.otherWOS:001262778000001
dc.identifier.urihttps://openaccess.acibadem.edu.tr/handle/11443/5718
dc.publisherELSEVIER SCIENCE INC
dc.sourceACADEMIC RADIOLOGY
dc.subjectArtificial intelligence
dc.subjectDecision support
dc.subjectBreast tumors
dc.subjectUltrasound
dc.subjectBI\\-RADS
dc.titleArtificial Intelligence in BI-RADS Categorization of Breast Lesions on Ultrasound: Can We Omit Excessive Follow-ups and Biopsies?
dc.typeArticle

Dosyalar

Koleksiyonlar

WOS