Enhanced Visualization of Retinal Microvasculature via Deep Learning on OCTA Image Quality.

Volume: 2021, Pages: 1373362
Published: Jan 1, 2021
Abstract
Purpose To investigate the impact of denoising on the qualitative and quantitative parameters of optical coherence tomography angiography (OCTA) images of the optic nerve and macular area. Methods OCTA images of the optic nerve and macular area were obtained using a Canon-HS100 OCT device for 48 participants (48 eyes). Multiple image averaging (MIA) and denoising techniques were used to improve the quality of the OCTA images. The peak...
Paper Details
Title
Enhanced Visualization of Retinal Microvasculature via Deep Learning on OCTA Image Quality.
Published Date
Jan 1, 2021
Volume
2021
Pages
1373362
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