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Computer-Aided Assessment of Breast Density: Comparison of Supervised Deep Learning and Feature-Based Statistical Learning
Breast density is one of the most significant factors that are associated with the cancer risk. In this study, our purpose was to develop a supervised deep learning approach for automated estimation of percentage density (PD) on digital mammograms (DM). The input “for processing” DM was first log-tr...
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| Vydáno v: | Phys Med Biol |
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| Hlavní autoři: | , , , , , , , , |
| Médium: | Artigo |
| Jazyk: | Inglês |
| Vydáno: |
2018
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| Témata: | |
| On-line přístup: | https://ncbi.nlm.nih.gov/pmc/articles/PMC5784848/ https://ncbi.nlm.nih.gov/pubmed/29210358 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1088/1361-6560/aa9f87 |
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