Stand-Alone Artificial Intelligence for Breast Cancer Detection in Mammography: Comparison With 101 Radiologists

BACKGROUND: Artificial intelligence (AI) systems performing at radiologist-like levels in the evaluation of digital mammography (DM) would improve breast cancer screening accuracy and efficiency. We aimed to compare the stand-alone performance of an AI system to that of radiologists in detecting bre...

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Detalhes bibliográficos
Publicado no:J Natl Cancer Inst
Main Authors: Rodriguez-Ruiz, Alejandro, Lång, Kristina, Gubern-Merida, Albert, Broeders, Mireille, Gennaro, Gisella, Clauser, Paola, Helbich, Thomas H, Chevalier, Margarita, Tan, Tao, Mertelmeier, Thomas, Wallis, Matthew G, Andersson, Ingvar, Zackrisson, Sophia, Mann, Ritse M, Sechopoulos, Ioannis
Formato: Artigo
Idioma:Inglês
Publicado em: Oxford University Press 2019
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Articles
Acesso em linha:https://ncbi.nlm.nih.gov/pmc/articles/PMC6748773/
https://ncbi.nlm.nih.gov/pubmed/30834436
https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1093/jnci/djy222
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