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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...
Αποθηκεύτηκε σε:
| Τόπος έκδοσης: | J Natl Cancer Inst |
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| Κύριοι συγγραφείς: | , , , , , , , , , , , , , , |
| Μορφή: | Artigo |
| Γλώσσα: | Inglês |
| Έκδοση: |
Oxford University Press
2019
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| Θέματα: | |
| Διαθέσιμο Online: | 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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