Impact of artificial intelligence support on accuracy and reading time in breast tomosynthesis image interpretation: a multi-reader multi-case study

OBJECTIVES: Digital breast tomosynthesis (DBT) increases sensitivity of mammography and is increasingly implemented in breast cancer screening. However, the large volume of images increases the risk of reading errors and reading time. This study aims to investigate whether the accuracy of breast rad...

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Detalles Bibliográficos
Autores principales: van Winkel, Suzanne L., Rodríguez-Ruiz, Alejandro, Appelman, Linda, Gubern-Mérida, Albert, Karssemeijer, Nico, Teuwen, Jonas, Wanders, Alexander J. T., Sechopoulos, Ioannis, Mann, Ritse M.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Springer Berlin Heidelberg 2021
Materias:
Breast
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8523448/
https://www.ncbi.nlm.nih.gov/pubmed/33948701
http://dx.doi.org/10.1007/s00330-021-07992-w

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8523448/
https://www.ncbi.nlm.nih.gov/pubmed/33948701
http://dx.doi.org/10.1007/s00330-021-07992-w

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