Naaman Omar

High-Dimensional Breast Cancer Classification: Evaluating Trade-offs Between Accuracy, Robustness, and Computational Cost

Background: Breast cancer is the leading cause of cancer-related mortality in females, with 2.3 million new cases diagnosed annually. Machine learning (ML) algorithms have the potential to improve diagnostic accuracy through the analysis of high-dimensional data. However, the lack of standardized benchmarks across diff...