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Using deep learning to segment breast and fibroglandular tissue in MRI volumes
211
Zitationen
7
Autoren
2016
Jahr
Abstract
In conclusion, we applied a deep-learning method, U-net, for segmenting breast and FGT in MRI in a dataset that includes a variety of MRI protocols and breast densities. Our results showed that U-net-based methods significantly outperformed the existing algorithms and resulted in significantly more accurate breast density computation.
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