Domain adaptation (DA) has emerged as a promising approach to address the domain shift problem in deep learning for automated medical diagnosis. However, current approaches often overlook the imbalanced nature of different categories and primarily focus on aligning the distributions of the source and target domains globally. This oversight leads to suboptimal performance on imbalanced target datas...Show More
