2 papers
cs.LG2024
Interpretable Solutions for Breast Cancer Diagnosis with Grammatical Evolution and Data Augmentation
Yumnah Hasan, Allan de Lima, Fatemeh Amerehi +3
Medical imaging diagnosis increasingly relies on Machine Learning (ML) models. This is a task that is often hampered by severely imbalanced datasets, where positive cases can be qu…
cs.LG2023
STEM Rebalance: A Novel Approach for Tackling Imbalanced Datasets using SMOTE, Edited Nearest Neighbour, and Mixup
Yumnah Hasan, Fatemeh Amerehi, Patrick Healy +1
Imbalanced datasets in medical imaging are characterized by skewed class proportions and scarcity of abnormal cases. When trained using such data, models tend to assign higher prob…