A Comprehensive Review on the Issue of Class Imbalance in Predictive Modelling

Dynamic learning for imbalanced data in learning chest X-ray and CT images

“…The imbalanced distribution of data can pose problems for deep learning algorithms, as they may be biased towards the majority class. This can lead to poor performance on the minority class, such as low accuracy or low sensitivity (the ability to correctly identify the minority class) [23] .…”