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

Yishuang Xu Yu Su Dihao Hua Peter Heiduschka Wenliang Zhang Tianyue Cao Jingcheng Liu Zhenyu Ji Nicole Eter

Published in: Disease markers (2021)

Denoising could provide an easy and quick way to improve image quality parameters, such as PSNR. It shows great potential in improving the sensitivity of OCTA images as retinal disease markers.

Keyphrases

image quality
deep learning
optical coherence tomography
convolutional neural network
diabetic retinopathy
computed tomography
optic nerve
dual energy
artificial intelligence
machine learning
human health
climate change