crossrefDiagnostics2022-01-13Cited by 6
Applied Machine Learning in Spiral Breast-CT: Can We Train a Deep Convolutional Neural Network for Automatic, Standardized and Observer Independent Classification of Breast Density?
Anna Landsmann, Jann Wieler, Patryk Hejduk, Alexander Ciritsis, Karol Borkowski, Cristina Rossi, et al.
The aim of this study was to investigate the potential of a machine learning algorithm to accurately classify parenchymal density in spiral breast-CT (BCT), using a deep convolutional neural network (dCNN). In this retrospectively designed study, 634 examinations of 317 patients…