Multimodal breast cancer diagnosis using feature fusion and deep learning
A multimodal breast cancer diagnosis model is presented that consists of attention-based transformers to achieve efficient modality specific feature extraction, the modified mantissa search algorithm to remove irrelevant features, and the American zebra optimization algorithm to dynamically and efficiently combine feat...