Automatic and standardized quality assurance of digital mammography and tomosynthesis with deep convolutional neural networks

OBJECTIVES: The aim of this study was to develop and validate a commercially available AI platform for the automatic determination of image quality in mammography and tomosynthesis considering a standardized set of features. MATERIALS AND METHODS: In this retrospective study, 11,733 mammograms and s...

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Detalles Bibliográficos
Autores principales: Hejduk, Patryk, Sexauer, Raphael, Ruppert, Carlotta, Borkowski, Karol, Unkelbach, Jan, Schmidt, Noemi
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Springer Vienna 2023
Materias:
Original Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10195933/
https://www.ncbi.nlm.nih.gov/pubmed/37199794
http://dx.doi.org/10.1186/s13244-023-01396-8

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10195933/
https://www.ncbi.nlm.nih.gov/pubmed/37199794
http://dx.doi.org/10.1186/s13244-023-01396-8

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