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March 3, 2026
Dual-path prompt-enhanced semi-supervised segmentation for retinal vessel quantification in OCTA imaging
YL
Yuemei Luo
Nanjing University of Information Science and Technology
YL
Yuan Li
Nanjing University of Information Science and Technology
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