SCREENet: A Multi-view Deep Convolutional Neural Network for Classification of High-resolution Synthetic Mammographic Screening Scans

1 code implementation • 18 Sep 2020 • Saeed Seyyedi, Margaret J. Wong, Debra M. Ikeda, Curtis P. Langlotz

Purpose: To develop and evaluate the accuracy of a multi-view deep learning approach to the analysis of high-resolution synthetic mammograms from digital breast tomosynthesis screening cases, and to assess the effect on accuracy of image resolution and training set size.