Multidimensional Hypergraph on Delineated Retinal Features for Pathological Myopia Task
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Springer Nature Switzerland
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https://link.springer.com/content/pdf/10.1007/978-3-031-16434-7_53
Reference21 articles.
1. Cai, B., Xu, X., Jia, K., Qing, C., Tao, D.: DehazeNet: an end-to-end system for single image haze removal. IEEE Trans. Image Process. 25(11), 5187–5198 (2016). https://doi.org/10.1109/TIP.2016.2598681
2. Cen, L.P., et al.: Automatic detection of 39 fundus diseases and conditions in retinal photographs using deep neural networks. Nat. Commun. 12(1), 4828 (2021). https://doi.org/10.1038/s41467-021-25138-w, https://www.nature.com/articles/s41467-021-25138-w
3. Dai, S., Chen, L., Lei, T., Zhou, C., Wen, Y.: Automatic detection of pathological myopia and high myopia on fundus images. In: 2020 IEEE International Conference on Multimedia and Expo (ICME), London, United Kingdom, pp. 1–6. IEEE, July 2020. https://doi.org/10.1109/ICME46284.2020.9102787, https://ieeexplore.ieee.org/document/9102787/
4. Devda, J., Eswari, R.: Pathological myopia image analysis using deep learning. Procedia Comput. Sci. 165, 239–244 (2019). https://doi.org/10.1016/j.procs.2020.01.084. https://linkinghub.elsevier.com/retrieve/pii/S1877050920300922
5. Gao, Y., Zhang, Z., Lin, H., Zhao, X., Du, S., Zou, C.: Hypergraph learning: methods and practices. IEEE Trans. Pattern Anal. Mach. Intell. 44, 2548–2566 (2020). https://doi.org/10.1109/TPAMI.2020.3039374
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