DMDSC: A Dynamic-Margin Deep Simplex Classifier for Open-Set Recognition on Medical Image Datasets
DMDSC enhances Open-Set Recognition for medical images by introducing a dynamic margin approach. It automatically adjusts how far apart class features are based on how common each class is in the training data. This adaptation helps models better handle extreme class imbalances, leading to superior performance on rare diseases and unknown samples.