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Multi-View Hypercomplex Learning for Breast Cancer Screening
March 5, 2024, 2:45 p.m. | Eleonora Lopez, Eleonora Grassucci, Martina Valleriani, Danilo Comminiello
cs.LG updates on arXiv.org arxiv.org
Abstract: Traditionally, deep learning methods for breast cancer classification perform a single-view analysis. However, radiologists simultaneously analyze all four views that compose a mammography exam, owing to the correlations contained in mammography views, which present crucial information for identifying tumors. In light of this, some studies have started to propose multi-view methods. Nevertheless, in such existing architectures, mammogram views are processed as independent images by separate convolutional branches, thus losing correlations among them. To overcome such …
arxiv breast cancer screening cancer cancer screening cs.ai cs.cv cs.lg screening type view
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