An Interpretable Ensemble Machine Learning Framework for Early Breast Cancer Diagnosis Using Explainable AI
Early and accurate diagnosis of breast cancer is critical for improving patient survival rates; however, the clinical adoption of artificial intelligence–based diagnostic systems remains limited due to their lack of interpretability. The primary purpose of th...
Poster Program · Diagnostic and Interventional Radiology Physics