Author:
Che Haoxuan,Cheng Yuhan,Jin Haibo,Chen Hao
Publisher
Springer Nature Switzerland
Reference36 articles.
1. Cho, N.H., Shaw, J., Karuranga, S., Huang, Y., da Rocha Fernandes, J., et al.: IDF diabetes atlas: global estimates of diabetes prevalence for 2017 and projections for 2045. Diabetes Res. Clin. Pract. 138, 271–281 (2018)
2. He, A., Li, T., Li, N., Wang, K., Fu, H.: CabNet: category attention block for imbalanced diabetic retinopathy grading. IEEE Trans. Med. Imaging 40(1), 143–153 (2020)
3. Lecture Notes in Computer Science;S Liu,2020
4. Beede, E., et al.: A human-centered evaluation of a deep learning system deployed in clinics for the detection of diabetic retinopathy. In: Proceedings of the 2020 CHI Conference on Human Factors in Computing Systems, pp. 1–12 (2020)
5. Heaven, W.D.: Google’s medical AI was super accurate in a lab. Real life was a different story. MIT Technol. Rev. 4, 27 (2020)
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