Transformer-based Deep Neural Network for Breast Cancer Classification on Digital Breast Tomosynthesis Images

Abstract

A transformer-based deep neural network using data from neighboring sections improved breast cancer classification performance compared with a per-section baseline model and was more efficient than a model using 3D convolutions.<b>Keywords:</b> Breast, Tomosynthesis, Diagnosis, Supervised Learning, Convolutional Neural Network (CNN), Digital Breast Tomosynthesis, Breast Cancer, Deep Neural Networks, Transformers <i>Supplemental material is available for this article.</i> © RSNA, 2023.