Hence we proposes a semi-supervised retinal image classification method by a Hybrid Graph Convolutional Network (HGCN). This HGCN network designs a modularity-based graph learning module and ...

Abstract: Currently, the medical image classification is challenged by performance degradation due to imbalanced data. Balancing the data through sample augmentation proves to be an effective solution ...