摘要：

[1] Engelgau MM, Geiss LS, Saaddine JB, Boyle JP, Benjamin SM, Gregg EW, et al. The Evolving Diabetes Burden in the United States. Ann Intern Med. 2004;140:945-950. doi:10.7326/0003-4819-140-11-200406010-00035[2] Hwang TS, Gao SS, Liu L, et al. Automated quantification of capillary nonperfusion using optical coherence tomography angiography in diabetic retinopathy. JAMA Ophthalmology 2016;134:367-73. [3] Agemy SA, Scripsema NK, Shah CM, et al. RETINAL VASCULAR PERFUSION DENSITY MAPPING USING OPTICAL COHERENCE TOMOGRAPHY ANGIOGRAPHY IN NORMALS AND DIABETIC RETINOPATHY PATIENTS. RETINA 2015;35:2353-63. [4] Salz DA, de Carlo TE, Adhi M, et al. SElect features of diabetic retinopathy on swept-source optical coherence tomographic angiography compared with fluorescein angiography and normal eyes. JAMA Ophthalmology 2016. [5] Choi W, Potsaid B, Jayaraman V, et al. Phase-sensitive swept-source optical coherence tomography imaging of the human retina with a vertical cavity surface-emitting laser light source. Optics Letters 2013;38:338-40. [6] Frangi AF, Niessen WJ, Vincken KL, et al. Multiscale vessel enhancement filtering. In: Wells WM, Colchester A, Delp S, eds. Medical Image Computing and Computer-Assisted Interventation — MICCAI'98: First International Conference Cambridge, MA, USA, October 11–13, 1998 Proceedings. Berlin, Heidelberg: Springer Berlin Heidelberg, 1998:130-7. Conclusions

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