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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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| Pubblicato in: | J Med Imaging (Bellingham) |
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| Autori principali: | , , , , , , , , |
| Natura: | Artigo |
| Lingua: | Inglês |
| Pubblicazione: |
Society of Photo-Optical Instrumentation Engineers
2019
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| Soggetti: | |
| Accesso online: | 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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