Prakasa Rao Amara

Abstract Breast cancer is a major cause of cancer-related mortality among women, emphasizing the need for accurate and efficient computer-aided diagnosis. Existing deep learning approaches for mammographic analysis predominantly rely on single feature representations or conventional fusion strategies, limiting their ability to exploit complementary geometric information across multiple feature manifolds.

Data Availability Statement Data sharing not applicable to this article as no datasets were generated or analysed during the current study. References 1, , , et al., “Machine Learning-Based Technique for Directivity Prediction of a Compact and Highly Efficient 4-Port MIMO Antenna for 5G Millimeter Wave Applications,” Results in Engineering 24 (2024): 103106, https://doi.org/10.1016/j.rineng.2024.103106.