TL;DR通过混合数据增强技术,即 AUC-mixup 损失,改进了 DAM 在小样本数据集上的推广性能,该方法在不平衡的基准和医学图像数据集上比标准的 DAM 训练方法表现更有效。
Abstract
While deep auc maximization (dam) has shown remarkable success on imbalanced
medical tasks, e.g., chest X-rays classification and skin lesions
classification, it could suffer from severe overfitting when applied