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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Detaylı Bibliyografya
Yayımlandı:J Med Imaging (Bellingham)
Asıl Yazarlar: Ionescu, Georgia V., Fergie, Martin, Berks, Michael, Harkness, Elaine F., Hulleman, Johan, Brentnall, Adam R., Cuzick, Jack, Evans, D. Gareth, Astley, Susan M.
Materyal Türü: Artigo
Dil:Inglês
Baskı/Yayın Bilgisi: Society of Photo-Optical Instrumentation Engineers 2019
Konular:
Special Section on Advances in Breast Imaging
Online Erişim: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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