Devising a deep neural network based mammography phantom image filtering algorithm using images obtained under mAs and kVp control

We study whether deep neural network based algorithm can filter out mammography phantom images that will pass or fail. With 543 phantom images generated from a mammography unit, we created VGG16 based phantom shape scoring models (multi-and binary-class classifiers). Using these models we designed f...

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Detalles Bibliográficos
Autores principales: Park, Sung Soo, Ku, Young Mi, Seo, Kyung Jin, Whang, In Yong, Hwang, Yun Sup, Kim, Min Ji, Jung, Na Young
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Nature Publishing Group UK 2023
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9981722/
https://www.ncbi.nlm.nih.gov/pubmed/36864167
http://dx.doi.org/10.1038/s41598-023-30780-z

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9981722/
https://www.ncbi.nlm.nih.gov/pubmed/36864167
http://dx.doi.org/10.1038/s41598-023-30780-z

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