Emory University
Curate a patient cohort with MagView and metadata, focusing on cancer/no cancer, normal vs. abnormal classifications, and stratification by breast density. Address common pitfalls and create a test set to highlight key issues.
Learn how to effectively leverage Regions of Interest (ROIs) in data engineering for enhanced analysis and insights.
Utilize our model for running inference, calculating statistical metrics, and evaluating subgroups. Extract imaging findings and analyze demographics, including race, ethnicity, age, density, and pathology.
Utilize our model to run inference, calculate statistical metrics, and evaluate subgroups. Discuss appropriate metrics like F1, AUC, specificity, and sensitivity, along with bootstrapping, class balancing, and potential pitfalls in model performance evaluation.