Deep-Learning-Based Semantic Labeling for 2D Mammography and Comparison of Complexity for Machine Learning Tasks.

Machine learning has several potential uses in medical imaging for semantic labeling of images to improve radiologist workflow and to triage studies for review. The purpose of this study was to (1) develop deep convolutional neural networks (DCNNs) for automated classification of 2D mammography view...

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Bibliographic Details

Published in:	Journal of Digital Imaging Vol. 32; no. 4; pp. 565 - 571
Main Authors:	Yi, Paul H., Lin, Abigail, Wei, Jinchi, Yu, Alice C., Sair, Haris I., Hui, Ferdinand K., Hager, Gregory D., Harvey, Susan C.
Format:	diagnostic images research tables/charts Journal Article
Published:	Springer Nature Aug2019
Online Access:	View this record in EBSCOhost