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In this study, we developed voxel-wise projection-resolved optical coherence tomographic angiography (PR-OCTA) using artificial intelligence (AI). Two different artificial intelligence models were developed, including a pure convolutional neural network (CNN) model and a CNN and recurrent neural network (RNN) hybrid model. Compared with the state-of-art rules-based model, the AI models were able to preserve more in-situ blood flow and suppress projection artifacts and background noise.
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Jie Wang, Tristan T. Hormel, Thomas S. Hwang, Steven T. Bailey, Yali Jia, "Projection-resolved optical coherence tomographic angiography using artificial intelligence," Proc. SPIE PC12360, Ophthalmic Technologies XXXIII, PC1236008 (17 March 2023); https://doi.org/10.1117/12.2650645