A super-resolution method-based pipeline for fundus fluorescein angiography imaging

A super-resolution method-based pipeline for fundus fluorescein angiography imaging

Abstract Background Fundus fluorescein angiography (FFA) imaging is a standard diagnostic tool for many retinal diseases such as age-related macular degeneration and diabetic retinopathy. High-resolution FFA images facilitate the detection of small lesions such as microaneurysms, and other landmark...

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Bibliographic Details
Main Authors: Zhe Jiang, Zekuan Yu, Shouxin Feng, Zhiyu Huang, Yahui Peng, Jianxin Guo, Qiushi Ren, Yanye Lu
Format: Article
Language:English
Published: BMC 2018-09-01
Series:BioMedical Engineering OnLine
Subjects:
Fundus fluorescein angiography imaging
Super-resolution
Machine learning
Random forest
Convolutional network
Online Access:http://link.springer.com/article/10.1186/s12938-018-0556-7

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http://link.springer.com/article/10.1186/s12938-018-0556-7

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