Automated Detection of Vessel Abnormalities on Fluorescein Angiogram in Malarial Retinopathy

@article{Zhao2015AutomatedDO,
  title={Automated Detection of Vessel Abnormalities on Fluorescein Angiogram in Malarial Retinopathy},
  author={Yitian Zhao and Ian J. C. MacCormick and D. Parry and Nicholas A. V. Beare and Simon Peter Harding and Yalin Zheng},
  journal={Scientific Reports},
  year={2015},
  volume={5}
}
The detection and assessment of intravascular filling defects is important, because they may represent a process central to cerebral malaria pathogenesis: neurovascular sequestration. We have developed and validated a framework that can automatically detect intravascular filling defects in fluorescein angiogram images. It first employs a state-of-the-art segmentation approach to extract the vessels from images and then divide them into individual segments by geometrical analysis. A feature… 
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