视网膜图像质量评估与注意力机制提升DR分类模型性能

In the DR classification, the poor-quality original images were not eliminated, resulting in a large amount of useless feature data during the real-time data augmentation phase, which affects the efficiency and accuracy of the model. The subsequent task is to develop a complete method for evaluating the quality of retinal images, with a focus on improving the quality of the dataset. At the same time, attention mechanisms that are more suitable for samples with small image differences (such as retinal images) will be explored to further improve the classification performance of the model.