Fully Automated Convolutional Neural Network Method for Quantification of Breast MRI Fibroglandular Tissue and Background Parenchymal Enhancement

The aim of this study is to develop a fully automated convolutional neural network (CNN) method for quantification of breast MRI fibroglandular tissue (FGT) and background parenchymal enhancement (BPE). An institutional review board-approved retrospective study evaluated 1114 breast volumes in 137 p...

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Publicado en:J Digit Imaging
Main Authors: Ha, Richard, Chang, Peter, Mema, Eralda, Mutasa, Simukayi, Karcich, Jenika, Wynn, Ralph T., Liu, Michael Z., Jambawalikar, Sachin
Formato: Artigo
Idioma:Inglês
Publicado: Springer International Publishing 2018
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Article
Acceso en liña:https://ncbi.nlm.nih.gov/pmc/articles/PMC6382627/
https://ncbi.nlm.nih.gov/pubmed/30076489
https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1007/s10278-018-0114-7
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