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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...
| Autores principales: | , , , , , , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
| Publicado: |
Nature Publishing Group UK
2023
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| Materias: | |
| 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 |