Data augmentation refers to the process of creating new data points from existing data. This technique is particularly useful in fields like cancer research, where acquiring large and diverse datasets can be challenging. By artificially expanding the dataset, researchers can improve the performance of machine learning models, making them more robust and generalizable.
