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Identifying normal mammograms in a large screening population using artificial intelligence
OBJECTIVES: To evaluate the potential of artificial intelligence (AI) to identify normal mammograms in a screening population. METHODS: In this retrospective study, 9581 double-read mammography screening exams including 68 screen-detected cancers and 187 false positives, a subcohort of the prospecti...
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| Publicat a: | Eur Radiol |
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| Autors principals: | , , , , , |
| Format: | Artigo |
| Idioma: | Inglês |
| Publicat: |
Springer Berlin Heidelberg
2020
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| Matèries: | |
| Accés en línia: | https://ncbi.nlm.nih.gov/pmc/articles/PMC7880910/ https://ncbi.nlm.nih.gov/pubmed/32876835 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1007/s00330-020-07165-1 |
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