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...

Descripció completa

Guardat en:
Dades bibliogràfiques
Publicat a:J Med Imaging (Bellingham)
Autors principals: Ionescu, Georgia V., Fergie, Martin, Berks, Michael, Harkness, Elaine F., Hulleman, Johan, Brentnall, Adam R., Cuzick, Jack, Evans, D. Gareth, Astley, Susan M.
Format: Artigo
Idioma:Inglês
Publicat: Society of Photo-Optical Instrumentation Engineers 2019
Matèries:
Special Section on Advances in Breast Imaging
Accés en línia: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
Etiquetes: Afegir etiqueta
Sense etiquetes, Sigues el primer a etiquetar aquest registre!

Ítems similars