Synthetic Data Generation for Long-Tail Medical Image Classification: A Case Study in Skin Lesions

ArXi:2605.03221v1 Announce Type: new Long-tailed class distributions are pervasive in multi-class medical datasets and pose significant challenges for deep learning models which typically underperform on tail classes with limited samples. This limitation is particularly problematic in medical applications, where rare classes often correspond to severe or high-risk diseases and therefore require high diagnostic accuracy.