Iterative Vessel Segmentation of Fundus Images

Summary

This study introduces an unsupervised iterative algorithm for segmenting blood vessels in retinal images. A novel stopping criterion enhances accuracy, achieving over 95% segmentation performance across various datasets and conditions.