Publications [#377794] of Marc D. Ryser

Papers Published

1. Liu, X; Ren, Y; Ryser, M; Grimm, LJ; Lo, JY, A Residual-Attention Multimodal Fusion Network (ResAMF-Net) for Detection and Classification of Breast Cancer, Progress in Biomedical Optics and Imaging - Proceedings of SPIE, vol. 12927 (January, 2024), ISBN 9781510671584 [doi]
   (last updated on 2025/03/13)

   Abstract:
   Digital breast tomosynthesis (DBT), synthetic mammography, and full-field digital mammography (FFDM) are commonly used medical imaging modalities for breast cancer screening. Due to the data complexity, most CAD research applies to only one modality, which under-utilizes the complementary information in these 2D and 3D modalities. In this study, we propose a Residual-Attention Multimodal Fusion network (ResAMF-Net) that integrates lesion features across these modalities. We evaluated network performance on a large private dataset, which contains 769 cancer cases and 1375 noncancer cases (including 362 benign and 1013 normal cases) for a total of 2144 cases. At 90% case sensitivity, ResAMF-Net increases specificity by 8%, which can substantially improve radiologist workflow because almost all screening cases are true negatives.