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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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Bibliografiska uppgifter
I publikationen:Phys Med Biol
Huvudupphovsmän: Li, Songfeng, Wei, Jun, Chan, Heang-Ping, Helvie, Mark A., Roubidoux, Marilyn A., Lu, Yao, Zhou, Chuan, Hadjiiski, Lubomir M., Samala, Ravi K.
Materialtyp: Artigo
Språk:Inglês
Publicerad: 2018
Ämnen:
Länkar: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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