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Deep Learning for Retinal Vessel Segmentation by prakash karn is a document available to read on EtoBox.

What is Deep Learning for Retinal Vessel Segmentation about?

This study evaluates a deep learning-based tool for ultra-widefield angiography (UWFA) that automates retinal vessel segmentation and optimizes phase selection for improved image quality. The tool demonstrated a success rate of 85.2% in identifying appropriate images for both early and late angiographic phases, significantly enhancing the efficiency of UWFA evaluations. The findings suggest that this automated system could improve clinical workflows and decision-making in the assessment of retinal vascular

Author

prakash karn

Language

EN