Detection of neovascularization in retinal images using mutual information maximization

@article{Kar2017DetectionON,
  title={Detection of neovascularization in retinal images using mutual information maximization},
  author={Sudeshna Sil Kar and Santi Prasad Maity},
  journal={Computers & Electrical Engineering},
  year={2017},
  volume={62},
  pages={194-208}
}
Proliferative diabetic retinopathy (PDR) is characterized by the proliferation of new abnormal blood vessels (neovascularization) that cause their detachment from retina. An automated computer aided diagnosis (CAD) system is developed for neovascularization (new abnormal blood vessel) detection on retinal images. Curvelet transform is used to intensify the fine details of the vascular network followed by maximization of mutual information (MI) on the maximum matched filter response for optimal… CONTINUE READING