Attention-Map Augmentation for Hypercomplex Breast Cancer Classification

arXiv:2310.07633v2 Announce Type: replace-cross
Abstract: Breast cancer is the most widespread neoplasm among women and early detection of this disease is critical. Deep learning techniques have become of great interest to improve diagnostic performance. However, distinguishing between malignant and benign masses in whole mammograms poses a challenge, as they appear nearly identical to an untrained eye, and the region of interest (ROI) constitutes only a small fraction of the entire image. In this paper, we propose a framework, parameterized hypercomplex …

arxiv attention augmentation cancer classification cs.cv eess.iv map type