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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Detalles Bibliográficos
Autores principales: Lång, Kristina, Dustler, Magnus, Dahlblom, Victor, Åkesson, Anna, Andersson, Ingvar, Zackrisson, Sophia
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Springer Berlin Heidelberg 2020
Materias:
Breast
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7880910/
https://www.ncbi.nlm.nih.gov/pubmed/32876835
http://dx.doi.org/10.1007/s00330-020-07165-1

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7880910/
https://www.ncbi.nlm.nih.gov/pubmed/32876835
http://dx.doi.org/10.1007/s00330-020-07165-1

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