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Unified deep learning model for predicting fundus fluorescein angiography image from fundus structure image

The prediction of fundus fluorescein angiography (FFA) images from fundus structural images is a cutting-edge research topic in ophthalmological image processing. Prediction comprises estimating FFA from fundus camera imaging, single-phase FFA from scanning laser ophthalmoscopy (SLO), and three-phas...

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Principais autores: Yiwei Chen, Yi He, Hong Ye, Lina Xing, Xin Zhang, Guohua Shi
Format: Artigo
Sprog:Inglês
Udgivet: World Scientific Publishing 2024-05-01
Serier:Journal of Innovative Optical Health Sciences
Fag:
Fundus fluorescein angiography image
fundus structure image
image translation
unified deep learning model
generative adversarial networks
Online adgang:https://www.worldscientific.com/doi/10.1142/S1793545824500032
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