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March 3, 2026
Dual-path prompt-enhanced semi-supervised segmentation for retinal vessel quantification in OCTA imaging
YL
Yuemei Luo
YL
Yuan Li
TL
Tao Lei
Sun Yat-sen University
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Key Points
Quantification accuracy of retinal vessels improves significantly with a dual-path prompt-enhanced approach.
A key metric shows improved vessel detection rates by approximately 20% compared to traditional methods.
Analysis of OCTA imaging utilized semi-supervised segmentation techniques for enhanced performance.
Findings suggest potential clinical applications, emphasizing the need for further validation in diverse datasets.
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Dual-path prompt-enhanced semi-supervised segmentation for retinal vessel quantification in OCTA imaging | Synapse
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Luo et al. (Thu,) studied this question.
synapsesocial.com/papers/69a76818badf0bb9e87e397f
https://doi.org/https://doi.org/10.1016/j.asoc.2026.114778