Lesion-Based Contrastive Learning for Diabetic Retinopathy Grading from Fundus Images

Author:

Huang Yijin,Lin Li,Cheng Pujin,Lyu Junyan,Tang Xiaoying

Publisher

Springer International Publishing

Reference21 articles.

1. Bachman, P., Hjelm, R.D., Buchwalter, W.: Learning representations by maximizing mutual information across views. In: NeurIPS (2019)

2. Chen, T., Kornblith, S., Norouzi, M., Hinton, G.: A simple framework for contrastive learning of visual representations. In: PMLR (2020)

3. DeVries, T., Taylor, G.W.: Improved regularization of convolutional neural networks with cutout. arXiv preprint (2017). arXiv:1708.04552

4. Gidaris, S., Singh, P., Komodakis, N.: Unsupervised representation learning by predicting image rotations. In: ICLR (2018)

5. He, A., Li, T., Li, N., Wang, K., Fu, H.: CABNet: category attention block for imbalanced diabetic retinopathy grading. IEEE Trans. Med. Imag. 40(1), 143–153 (2020)

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