LayNet-A multi-layer architecture to handle imbalance in medical imaging data
Description
In an imbalanced dataset, a machine learning classifier using traditional imbalance handling methods may achieve good accuracy, but in highly imbalanced datasets, it may over-predict the majority class and ignore the minority class. In the medical
