Prediction of reader estimates of mammographic density using convolutional neural networks

Mammographic density is an important risk factor for breast cancer. In recent research, percentage density assessed visually using visual analogue scales (VAS) showed stronger risk prediction than existing automated density measures, suggesting readers may recognize relevant image features not yet c...

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Detalhes bibliográficos
Publicado no:J Med Imaging (Bellingham)
Main Authors: Ionescu, Georgia V., Fergie, Martin, Berks, Michael, Harkness, Elaine F., Hulleman, Johan, Brentnall, Adam R., Cuzick, Jack, Evans, D. Gareth, Astley, Susan M.
Formato: Artigo
Idioma:Inglês
Publicado em: Society of Photo-Optical Instrumentation Engineers 2019
Assuntos:
Special Section on Advances in Breast Imaging
Acesso em linha:https://ncbi.nlm.nih.gov/pmc/articles/PMC6357906/
https://ncbi.nlm.nih.gov/pubmed/30746393
https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1117/1.JMI.6.3.031405
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