Publisher
Springer Nature Switzerland
Reference26 articles.
1. Arega, T.W., Legrand, F., Bricq, S., Meriaudeau, F.: Using MRI-specific data augmentation to enhance the segmentation of right ventricle in multi-disease, multi-center and multi-view cardiac MRI. In: Puyol Anton, E., et al. (eds.) Statistical Atlases and Computational Models of the Heart. Multi-Disease, Multi-View, and Multi-Center Right Ventricular Segmentation in Cardiac MRI Challenge. Lecture Notes in Computer Science(), vol. 13131, pp. 250–258. Springer, Cham (2021). https://doi.org/10.1007/978-3-030-93722-5_27
2. Charng, J., Alam, K., Swartz, G., Kugelman, J., Alonso-Caneiro, D., Mackey, D.A., Chen, F.K.: Deep learning: applications in retinal and optic nerve diseases. Clin. Exp. Optom. 106(5), 466–475 (2023)
3. Dai, L., Wu, L., Li, H., Cai, C., Wu, Q., Kong, H., Liu, R., Wang, X., Hou, X., Liu, Y., et al.: A deep learning system for detecting diabetic retinopathy across the disease spectrum. Nat. Commun. 12(1), 3242 (2021)
4. Dosovitskiy, A., et al.: An image is worth 16x16 words: transformers for image recognition at scale. arXiv preprint: arXiv:2010.11929 (2020)
5. Enaholo, E.S., Musa, M.J., Zeppieri, M.: The spherical equivalent. In: StatPearls [Internet]. StatPearls Publishing (2023)