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Automatic classification of ultrasound breast lesions using a deep convolutional neural network mimicking human decision-making

Published on Oct 1, 2019in European Radiology3.962
路 DOI :10.1007/s00330-019-06118-7
Alexander Ciritsis5
Estimated H-index: 5
(UZH: University of Zurich),
Cristina Rossi14
Estimated H-index: 14
(UZH: University of Zurich)
+ 3 AuthorsAndreas Boss33
Estimated H-index: 33
(UZH: University of Zurich)
Abstract
Objectives To evaluate a deep convolutional neural network (dCNN) for detection, highlighting, and classification of ultrasound (US) breast lesions mimicking human decision-making according to the Breast Imaging Reporting and Data System (BI-RADS).
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