Diagnostic Enface Imaging of Retinal Vascularization: Topological Reconstruction and Intersection Identification
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Publisher
Springer Nature Switzerland
Link
https://link.springer.com/content/pdf/10.1007/978-3-031-58094-9_5
Reference10 articles.
1. Miri, M., Amini, Z., Rabbani, H., Kafieh, R.A.: Comprehensive study of retinal vessel classification methods in fundus images. J. Med. Signals Sens. 7(2), 59–70 (2017). https://doi.org/10.4103/2228-7477.205505
2. Lau, Q.P., Lee, M.L., Hsu, W., Wong, T.Y.: Simultaneously identifying all true vessels from segmented retinal images. IEEE Trans. Biomed. Eng. 60(7), 1851–1858 (2013). https://doi.org/10.1109/TBME.2013.2243447
3. Feng, X., Cai, G., Gou, X., Yun, Z., Wang, W., Yang, W.: Retinal mosaicking with vascular bifurcations detected on vessel mask by a convolutional network. J. Healthc. Eng. 2020, 1–13 (2020). https://doi.org/10.1155/2020/7156408
4. Zhao, He., Sun, Y., Li, H.: Retinal vascular junction detection and classification via deep neural networks. Comput. Methods Programs Biomed. 183, 105096 (2020)
5. Owen, C.G., et al.: Retinal arteriolar tortuosity and cardiovascular risk factors in a multi-ethnic population study of 10-year-old children; the child heart and health study in England (CHASE). Arterioscler. Thromb. Vasc. Biol. 31(8), 1933–1938 (2011)
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