Efficient Breast Cancer Detection using Lightweight Multimodal Approach

In the realm of breast cancer detection, the pursuit of efficiency and accuracy remains paramount. This paper explores the integration of lightweight multimodal approaches to enhance the efficacy of breast cancer detection systems. By leveraging various modalities such as imaging, clinical data, and emerging technologies, this approach seeks to optimize detection processes while minimizing computational burdens. Through a comprehensive review of existing methodologies and the development of novel algorithms, this study aims to contribute to the advancement of early detection techniques. The proposed framework demonstrates promising results in terms of both sensitivity and specificity, offering a pragmatic solution to the challenges faced in breast cancer diagnosis.