AI RESEARCH
Multimodal Fusion of Histopathology Images and Electronic Health Records for Early Breast Cancer Diagnosis
arXiv CS.CV
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ArXi:2604.17122v1 Announce Type: new Breast cancer is a leading cause of cancer-related mortality worldwide, and timely accurate diagnosis is critical to improving survival outcomes. While convolutional neural networks (CNNs) have nstrated strong performance on histopathology image classification, and machine learning models on structured electronic health records (EHR) have shown utility for clinical risk stratification, most existing work treats these modalities in isolation.