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

8 citations · 8 across the 1 of their papers we have counts for

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1 paper

eess.IV2020★ 8 cited

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

Saeed Seyyedi, Margaret J. Wong, Debra M. Ikeda +1

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 scree…