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

OBJECTIVESThe 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. MATERIALS AND METHODSIn this retrospective,...

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Veröffentlicht in:	Investigative radiology 2017-07, Vol.52 (7), p.434-440
Hauptverfasser:	Becker, Anton S, Marcon, Magda, Ghafoor, Soleen, Wurnig, Moritz C, Frauenfelder, Thomas, Boss, Andreas
Format:	Artikel
Sprache:	eng
Schlagworte:	Adult Aged Aged, 80 and over Breast - diagnostic imaging Breast Neoplasms - diagnostic imaging Female Follow-Up Studies Humans Image Processing, Computer-Assisted - methods Machine Learning Mammography - methods Middle Aged Prevalence Reproducibility of Results Retrospective Studies ROC Curve
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