A Bayesian Framework for the Local Configuration of Retinal Junctions

@article{Qureshi2014ABF,
  title={A Bayesian Framework for the Local Configuration of Retinal Junctions},
  author={T. Qureshi and A. Hunter and B. Al-Diri},
  journal={2014 IEEE Conference on Computer Vision and Pattern Recognition},
  year={2014},
  pages={3105-3110}
}
Retinal images contain forests of mutually intersecting and overlapping venous and arterial vascular trees. The geometry of these trees shows adaptation to vascular diseases including diabetes, stroke and hypertension. Segmentation of the retinal vascular network is complicated by inconsistent vessel contrast, fuzzy edges, variable image quality, media opacities, complex intersections and overlaps. This paper presents a Bayesian approach to resolving the configuration of vascular junctions to… Expand
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