Deep Learning in Mammography: Diagnostic Accuracy of a Multipurpose Image Analysis Software in the Detection of Breast Cancer.

Journal: Investigative radiology

Published Date: Jul 1, 2017

Abstract

OBJECTIVES: The aim of this study was to evaluate the diagnostic accuracy of a multipurpose image analysis software based on deep learning with artificial neural networks for the detection of breast cancer in an independent, dual-center mammography data set.

Authors

Anton S Becker

From the Institute of Diagnostic and Interventional Radiology, University Hospital Zurich, Zurich, Switzerland.
Magda Marcon
Soleen Ghafoor
Moritz C Wurnig
Thomas Frauenfelder
Andreas Boss

Keywords

Adult Aged Aged, 80 and over Breast Breast Neoplasms Female Follow-Up Studies Humans Image Processing, Computer-Assisted Machine Learning Mammography Middle Aged Prevalence Reproducibility of Results Retrospective Studies ROC Curve

External Resources

View on PubMed Access via DOI PubMed (28212138)

Deep Learning in Mammography: Diagnostic Accuracy of a Multipurpose Image Analysis Software in the Detection of Breast Cancer.

Abstract

Authors

Keywords

External Resources

Popular Topics

Recent Journals