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Deep Learning Segmentation of Non-perfusion Area from Color Fundus Images and AI-generated Fluorescein Angiography

2024-01-30

Abstract excerpt

<title>Abstract</title> <p>The non-perfusion area (NPA) of the retina is an important indicator in the visual prognosis of patients with retinal vein occlusion (RVO). However, the current evaluation method of NPA, fluorescein angiography (FA), is invasive and burdensome. In this study, we examined the use of deep learning models for detecting NPA in color fundus images, bypassing the need for FA, and we also inve...

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Literature Corpus work
2f0818b3-c1f8-5fbe-8e6f-df2edfb9773e
DOI
10.21203/rs.3.rs-3871406/v1
Open publication

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Deep Learning Segmentation of Non-perfusion Area from Color Fundus Images and AI-generated Fluorescein AngiographyDOI 10.21203/rs.3.rs-3871406/v1
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