Predicting Breast Cancer by Applying Deep Learning to Linked Health Records and Mammograms

Background Computational models on the basis of deep neural networks are increasingly used to analyze health care data. However, the efficacy of traditional computational models in radiology is a matter of debate. Purpose To evaluate the accuracy and efficiency of a combined machine and deep learnin...

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Bibliographic Details

Published in:	Radiology Vol. 292; no. 2; pp. 331 - 342
Main Authors:	Akselrod-Ballin, Ayelet, Chorev, Michal, Shoshan, Yoel, Spiro, Adam, Hazan, Alon, Melamed, Roie, Barkan, Ella, Herzel, Esma, Naor, Shaked, Karavani, Ehud, Koren, Gideon, Goldschmidt, Yaara, Shalev, Varda, Rosen-Zvi, Michal, Guindy, Michal
Format:	Journal Article
Language:	English
Published:	United States 01-08-2019
Subjects:	Breast - diagnostic imaging Breast Neoplasms - diagnostic imaging Deep Learning Electronic Health Records Female Humans Mammography - methods Middle Aged Predictive Value of Tests Radiographic Image Interpretation, Computer-Assisted - methods Reproducibility of Results Retrospective Studies Sensitivity and Specificity
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