Liansheng Wang

GraVIS: Grouping Augmented Views From Independent Sources for Dermatology Analysis

2022 · IEEE Transactions on Medical Imaging

Self-supervised representation learning has been extremely successful in medical image analysis, as it requires no human annotations to provide transferable representations for downstream tasks. Recent self-supervised learning methods are dominated by noise-contrastive estimation (NCE, also …