Rethinking the neighborhood information for deep learning-based optical coherence tomography angiography.
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DOI: 10.1002/mp.15618
Abstract: PURPOSE Optical coherence tomography angiography (OCTA) is a premium imaging modality for non-invasive microvasculature studies. Deep learning networks have achieved promising results in the OCTA reconstruction task, benefiting from their powerful modeling capability. However, two… read more here.
Keywords: information; neighborhood information; octa reconstruction; deep learning ... See more keywords