Enhanced Visualization of Retinal Microvasculature in Optical Coherence Tomography Angiography Imaging via Deep Learning

Enhanced Visualization of Retinal Microvasculature in Optical Coherence Tomography Angiography Imaging via Deep Learning

Background: To investigate the effects of deep learning denoising on quantitative vascular measurements and the quality of optical coherence tomography angiography (OCTA) images. Methods: U-Net-based deep learning denoising with an averaged OCTA data set as teacher data was used in this study. One h...

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Bibliographic Details
Main Authors: Shin Kadomoto, Akihito Uji, Yuki Muraoka, Tadamichi Akagi, Akitaka Tsujikawa
Format: Article
Language:English
Published: MDPI AG 2020-05-01
Series:Journal of Clinical Medicine
Subjects:
OCT angiography
deep learning
averaging
denoising
Online Access:https://www.mdpi.com/2077-0383/9/5/1322

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https://www.mdpi.com/2077-0383/9/5/1322

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