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...

Deskribapen osoa

Gorde:
Xehetasun bibliografikoak
Argitaratua izan da:J Med Imaging (Bellingham)
Egile Nagusiak: Ionescu, Georgia V., Fergie, Martin, Berks, Michael, Harkness, Elaine F., Hulleman, Johan, Brentnall, Adam R., Cuzick, Jack, Evans, D. Gareth, Astley, Susan M.
Formatua: Artigo
Hizkuntza:Inglês
Argitaratua: Society of Photo-Optical Instrumentation Engineers 2019
Gaiak:
Special Section on Advances in Breast Imaging
Sarrera elektronikoa: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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