Convolutional neural network -based phantom image scoring for mammography quality control

BACKGROUND: Visual evaluation of phantom images is an important, but time-consuming part of mammography quality control (QC). Consistent scoring of phantom images over the device’s lifetime is highly desirable. Recently, convolutional neural networks (CNNs) have been applied to a wide range of image...

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Detalles Bibliográficos
Autores principales: Sundell, Veli-Matti, Mäkelä, Teemu, Vitikainen, Anne-Mari, Kaasalainen, Touko
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2022
Materias:
Research
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9727908/
https://www.ncbi.nlm.nih.gov/pubmed/36476319
http://dx.doi.org/10.1186/s12880-022-00944-w

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9727908/
https://www.ncbi.nlm.nih.gov/pubmed/36476319
http://dx.doi.org/10.1186/s12880-022-00944-w

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